Triple
T11431631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanded railway station |
E270896
|
entity |
| Predicate | hasRegionalServices |
P99269
|
FINISHED |
| Object | passenger trains |
—
|
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: passenger trains | Statement: [Nanded railway station, hasRegionalServices, passenger trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalServices Context triple: [Nanded railway station, hasRegionalServices, passenger trains]
-
A.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
isRegionalServiceCentre
Indicates that an entity functions as a regional service center responsible for providing services or support to a defined geographic area.
-
C.
isInhabitedRegionServed
Indicates that a particular inhabited region is provided with services or coverage by a specified entity (such as an organization, facility, or infrastructure).
-
D.
regionalServiceOperational
Indicates that a service is currently functioning and available within a specified geographic region.
-
E.
serviceRegion
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
- F. None of above. chosen
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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.