Triple
T25445754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarakeswar railway station |
E637631
|
entity |
| Predicate | servesPilgrimsFor |
P74993
|
FINISHED |
| Object | Tarakeswar Shiva temple |
—
|
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: Tarakeswar Shiva temple | Statement: [Tarakeswar railway station, servesPilgrimsFor, Tarakeswar Shiva temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPilgrimsFor Context triple: [Tarakeswar railway station, servesPilgrimsFor, Tarakeswar Shiva temple]
-
A.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
B.
pilgrimsUse
Indicates that pilgrims make use of or employ something (such as an object, place, or service) in the course of their pilgrimage.
-
C.
pilgrimsObtain
Indicates that pilgrims acquire, receive, or come into possession of something.
-
D.
isTypicallyServedFor
Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
-
E.
servesPilgrimTrafficTo
chosen
Indicates that a location or entity functions as a route, hub, or provider facilitating the movement or flow of pilgrim traffic to a specified destination.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 21, 2026, 2:01 p.m.