Triple
T9553710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Pobedy |
E230487
|
entity |
| Predicate | servesLine |
P839
|
FINISHED |
| Object |
Line 8A
Line 8A is a line of the Moscow Metro system that includes service at Park Pobedy station.
|
E807357
|
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 8A | Statement: [Park Pobedy, servesLine, Line 8A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 8A Context triple: [Park Pobedy, servesLine, Line 8A]
-
A.
Line 7A
Line 7A is a branch of Madrid Metro’s Line 7 that serves as a shuttle-like extension connecting the main line to additional suburban stations.
-
B.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
C.
Line 4B
Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
-
D.
Line 3A
Line 3A is a planned rapid transit route of the Ho Chi Minh City Metro intended to serve as part of the city’s future urban rail network.
-
E.
S8 line
The S8 line is a regional commuter rail service within the Zürich S-Bahn network that connects the city of Zürich with surrounding suburbs and towns.
- 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 8A Triple: [Park Pobedy, servesLine, Line 8A]
Generated description
Line 8A is a line of the Moscow Metro system that includes service at Park Pobedy station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 8A Target entity description: Line 8A is a line of the Moscow Metro system that includes service at Park Pobedy station.
-
A.
Line 7A
Line 7A is a branch of Madrid Metro’s Line 7 that serves as a shuttle-like extension connecting the main line to additional suburban stations.
-
B.
Line 4A
Line 4A is a short branch line of the Santiago Metro in Chile that connects parts of southeastern Santiago to the main Line 4 corridor.
-
C.
Line 4B
Line 4B is a planned rapid transit line of the Ho Chi Minh City Metro intended to expand urban rail connectivity within Vietnam’s largest city.
-
D.
Line 3A
Line 3A is a planned rapid transit route of the Ho Chi Minh City Metro intended to serve as part of the city’s future urban rail network.
-
E.
S8 line
The S8 line is a route of the Rhine-Main S-Bahn network in the Frankfurt region, providing suburban rail service that connects central Frankfurt with surrounding cities and the airport.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1528bd99881909e3f51472a99917f |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d156a5b65c8190a7c7616b6df6c181 |
completed | April 4, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d15740036c8190ada8ccf59c1436d9 |
completed | April 4, 2026, 6:24 p.m. |
Created at: March 30, 2026, 8:02 p.m.