Triple
T25963368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhubaneswar railway station |
E645600
|
entity |
| Predicate | isJunction |
P159606
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bhubaneswar railway station, isJunction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJunction Context triple: [Bhubaneswar railway station, isJunction, true]
-
A.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
B.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
C.
wasJunctionFor
Indicates that one entity functioned as a junction or connecting point for another entity, typically serving as an intersection or hub through which the other entity passed or was routed.
-
D.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
-
E.
isJunctionOnLine
Indicates that a particular junction lies on, or is part of, a specified line.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604c7ec9081908f026c897dcfedc4 |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:47 a.m.