Triple
T19078813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharashtra Metro Rail Corporation Limited |
E466970
|
entity |
| Predicate | roleInNagpurMetro |
P29465
|
FINISHED |
| Object | implementing agency |
—
|
LITERAL FINISHED |
How this triple was built (2 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: implementing agency | Statement: [Maharashtra Metro Rail Corporation Limited, roleInNagpurMetro, implementing agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNagpurMetro Context triple: [Maharashtra Metro Rail Corporation Limited, roleInNagpurMetro, implementing agency]
-
A.
hasPublicTransitRole
chosen
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
B.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
roleInBulletTrain
Indicates the specific function, position, or responsibility an entity has within the context of a bullet train system or operation.
-
D.
servesLocalTrains
Indicates that a station or facility provides service or stops specifically for local (non-express) train routes.
-
E.
roleInNepal
Indicates that an entity holds or has held a specific role, position, or function within the context of Nepal.
- F. None of above.
Provenance (3 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e61b60819092d42614f04a087c |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.