Triple
T19587383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerevan Metro |
E470137
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Shengavit depot
Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
|
E1385592
|
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: Shengavit depot | Statement: [Yerevan Metro, hasDepot, Shengavit depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shengavit depot Context triple: [Yerevan Metro, hasDepot, Shengavit depot]
-
A.
Suseo Depot
Suseo Depot is a maintenance and storage facility serving trains operating on Seoul Subway Line 3 in South Korea.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
E.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
- 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: Shengavit depot Triple: [Yerevan Metro, hasDepot, Shengavit depot]
Generated description
Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shengavit depot Target entity description: Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
-
A.
Suseo Depot
Suseo Depot is a maintenance and storage facility serving trains operating on Seoul Subway Line 3 in South Korea.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Vastral Depot
Vastral Depot is a major maintenance and operations facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
E.
Grunewald depot
Grunewald depot is a major maintenance and storage facility for Berlin’s U-Bahn trains, located in the Grunewald area of the city.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64052f61c81908bb49927d4246030 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f12fe008190bf2aaf7c63c44467 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a0760583b588190b8f648acc26bc1ae |
completed | May 15, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0761223cc081908e08a33eda54d222 |
completed | May 15, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:43 p.m.