Triple
T22341122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ara Junction railway station |
E552275
|
entity |
| Predicate | servesAsJunction |
P127254
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ara Junction railway station, servesAsJunction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAsJunction Context triple: [Ara Junction railway station, servesAsJunction, yes]
-
A.
servesJunction
chosen
Indicates that one element functions as a connecting or branching point where multiple other elements meet or intersect.
-
B.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
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.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
E.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15783637c8190b77885f4e23d7ee5 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.