Triple
T23296727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid Metro at Sol |
E590190
|
entity |
| Predicate | isInterchangeBetween |
P21487
|
FINISHED |
| Object |
Line 3
Line 3 is one of the main lines of the Madrid Metro, running north–south through central Madrid and serving key stations including the major interchange at Sol.
|
E1583237
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Line 3 | Statement: [Madrid Metro at Sol, isInterchangeBetween, Line 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 3 Context triple: [Madrid Metro at Sol, isInterchangeBetween, Line 3]
-
A.
Line 3
Line 3 is a major rapid transit route of the Guangzhou Metro system, known for its high passenger volume and key role in connecting central urban areas with the airport and suburban districts.
-
B.
Line 3
Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
-
C.
Line 3
Line 3 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts along a major north–south corridor.
-
D.
Line 3
Line 3 is a future rapid transit route of the Seville Metro intended to extend and improve the city’s urban rail network.
-
E.
Line 3
Line 3 is a major line of the Saint Petersburg Metro system, serving as one of the city's primary rapid transit routes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Line 3 Triple: [Madrid Metro at Sol, isInterchangeBetween, Line 3]
Generated description
Line 3 is one of the main lines of the Madrid Metro, running north–south through central Madrid and serving key stations including the major interchange at Sol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 3 Target entity description: Line 3 is one of the main lines of the Madrid Metro, running north–south through central Madrid and serving key stations including the major interchange at Sol.
-
A.
Line 3
chosen
Line 3 is one of the main lines of the Madrid Metro, running north–south through central Madrid and serving key commercial and residential areas.
-
B.
Line 3
Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
-
C.
Line 3
Line 3 is one of the main lines of the Mexico City Metro system, running in a generally north–south direction and serving several key residential and commercial areas.
-
D.
Line 3
Line 3 is one of the main lines of the Paris Métro, running in an east–west direction across the city and serving several central districts.
-
E.
Line 3
Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c823660288190a7abf8e5dc4366bc |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6eda1f481908482f3a66d576c3c |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 5:03 p.m.