Triple
T37181280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panvel Junction |
E921198
|
entity |
| Predicate | suburbanLine |
P158254
|
FINISHED |
| Object | Harbour line |
—
|
NE NERFINISHED |
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: Harbour line | Statement: [Panvel Junction, suburbanLine, Harbour line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanLine Context triple: [Panvel Junction, suburbanLine, Harbour line]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
isOnSuburbanLine
chosen
Indicates that something (typically a transit service or stop) operates on or belongs to a suburban railway or transit line.
-
C.
isSuburbanRouteOf
Indicates that a given route functions as a suburban segment or service line belonging to, or operating as part of, a larger primary route or network.
-
D.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
E.
isSuburbanRoute
Indicates that a route primarily serves suburban areas, typically connecting residential suburbs with each other or with urban centers.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.