Triple
T37116058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerul–Belapur–Panvel corridor trains |
E919119
|
entity |
| Predicate | hasMajorStop |
P30882
|
FINISHED |
| Object | CBD Belapur railway station |
E919112
|
NE 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: CBD Belapur railway station | Statement: [Nerul–Belapur–Panvel corridor trains, hasMajorStop, CBD Belapur railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorStop Context triple: [Nerul–Belapur–Panvel corridor trains, hasMajorStop, CBD Belapur railway station]
-
A.
isMajorStopBetween
Indicates that a location serves as a primary or significant stop along the route between two other points.
-
B.
hasStops
Indicates that a route, service, or journey includes one or more intermediate stopping points at specified locations.
-
C.
majorStop
Indicates that a location functions as a primary or significant stop along a route or service path, typically where vehicles regularly halt for boarding, alighting, or key operations.
-
D.
isMajorStopForTourists
Indicates that a location is a primary or frequently visited destination for tourists.
-
E.
isMajorStationOn
chosen
Indicates that a station serves as a primary or significant stop on a particular route or line.
- F. None of above.
Provenance (4 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0379a4086c8190a83df5570f737e15 |
completed | May 12, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a17973481908714f1f4e46779ff |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_6a037049db848190a6268bf1a8a60223 |
completed | May 12, 2026, 6:24 p.m. |
Created at: May 3, 2026, 4:15 p.m.