Triple
T19838499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arroios (Lisbon parish) |
E476659
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Intendente station
Intendente station is a Lisbon Metro station on the Green Line serving the Intendente square area in central Lisbon, Portugal.
|
E1397024
|
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: Intendente station | Statement: [Arroios (Lisbon parish), hasMetroStation, Intendente station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intendente station Context triple: [Arroios (Lisbon parish), hasMetroStation, Intendente station]
-
A.
Tigre station
Tigre station is a railway terminus in the city of Tigre, part of Greater Buenos Aires, Argentina, serving as a key suburban commuter hub.
-
B.
La Raza station
La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
-
C.
Artilleros station
Artilleros station is a Madrid Metro station serving the Moratalaz district in Spain.
-
D.
Consulado station
Consulado station is a Mexico City Metro station that serves as an interchange between Line 4 and Line 5 in the northeastern part of the city.
-
E.
Impulsora station
Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
- 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: Intendente station Triple: [Arroios (Lisbon parish), hasMetroStation, Intendente station]
Generated description
Intendente station is a Lisbon Metro station on the Green Line serving the Intendente square area in central Lisbon, Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Intendente station Target entity description: Intendente station is a Lisbon Metro station on the Green Line serving the Intendente square area in central Lisbon, Portugal.
-
A.
Tigre station
Tigre station is a railway terminus in the city of Tigre, part of Greater Buenos Aires, Argentina, serving as a key suburban commuter hub.
-
B.
La Raza station
La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern area.
-
C.
Artilleros station
Artilleros station is a Madrid Metro station serving the Moratalaz district in Spain.
-
D.
Consulado station
Consulado station is a Mexico City Metro station that serves as an interchange between Line 4 and Line 5 in the northeastern part of the city.
-
E.
Impulsora station
Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
- F. None of above. chosen
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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65803bb988190a4e7c0035058feba |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccdd93288190947d532bb4fed089 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cf1c9d7c81908d799c9288aba819 |
completed | May 16, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cf77875481908196a66181efaf25 |
completed | May 16, 2026, 1:59 a.m. |
Created at: April 10, 2026, 1:50 p.m.