Triple
T32653725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shalimar railway station |
E834803
|
entity |
| Predicate | hasApproachRoadFrom |
P4067
|
FINISHED |
| Object | Shibpur area |
—
|
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: Shibpur area | Statement: [Shalimar railway station, hasApproachRoadFrom, Shibpur area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproachRoadFrom Context triple: [Shalimar railway station, hasApproachRoadFrom, Shibpur area]
-
A.
hasApproachRoad
chosen
Indicates that one entity is connected to or accessed by another entity via an approach road leading to it.
-
B.
roadwayApproachLocation
Indicates the spatial relationship where a roadway leads toward, connects to, or approaches a specified location or feature.
-
C.
hasApproachTrail
Indicates that there is a designated trail or path providing access or approach to a particular location or feature.
-
D.
hasSeparateAccessRoadFor
Indicates that one entity is served by its own distinct access road that is separate from the access road used by another entity.
-
E.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward another entity.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:08 a.m.