Triple
T21243560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naraina Vihar |
E523542
|
entity |
| Predicate | hasNearbyMetroConnectivity |
P33877
|
FINISHED |
| Object | Delhi Metro (nearby stations in West Delhi) |
—
|
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: Delhi Metro (nearby stations in West Delhi) | Statement: [Naraina Vihar, hasNearbyMetroConnectivity, Delhi Metro (nearby stations in West Delhi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMetroConnectivity Context triple: [Naraina Vihar, hasNearbyMetroConnectivity, Delhi Metro (nearby stations in West Delhi)]
-
A.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
B.
nearMetroStation
chosen
Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
-
C.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
D.
hasNearbyTransportationCorridor
Indicates that an entity is located close to a significant transportation route or corridor, such as a road, railway, or transit line.
-
E.
hasNearbyUndergroundStationEntrance
Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352507448190ba1f14cef16d69be |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:47 p.m.