Triple
T21948882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhengzhou Metro |
E542007
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Gangli depot
Gangli depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
|
E1509994
|
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: Gangli depot | Statement: [Zhengzhou Metro, hasDepot, Gangli depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangli depot Context triple: [Zhengzhou Metro, hasDepot, Gangli depot]
-
A.
Shengavit depot
Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Pasila depot
Pasila depot is a major railway maintenance and storage facility serving trains in the Pasila district of Helsinki, Finland.
-
D.
Gogar depot
Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
-
E.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
- 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: Gangli depot Triple: [Zhengzhou Metro, hasDepot, Gangli depot]
Generated description
Gangli depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gangli depot Target entity description: Gangli depot is a maintenance and storage facility serving the Zhengzhou Metro system in Zhengzhou, China.
-
A.
Shengavit depot
Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
-
B.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Pasila depot
Pasila depot is a major railway maintenance and storage facility serving trains in the Pasila district of Helsinki, Finland.
-
D.
Gogar depot
Gogar depot is the main maintenance and operations facility for the Edinburgh Trams light rail system in Edinburgh, Scotland.
-
E.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f4866c819087a3ef3650885266 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a62ca0b708190a7be985078a35718 |
completed | May 18, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a635712f08190aa89892eb7555156 |
completed | May 18, 2026, 12:54 a.m. |
Created at: April 16, 2026, 7:58 p.m.