Triple
T38018802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherghati |
E948565
|
entity |
| Predicate | hasNearbyNationalHighway |
P99210
|
FINISHED |
| Object | NH 2 |
—
|
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: NH 2 | Statement: [Sherghati, hasNearbyNationalHighway, NH 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyNationalHighway Context triple: [Sherghati, hasNearbyNationalHighway, NH 2]
-
A.
hasNearbyInternationalRoad
Indicates that an entity is located close to an international road or highway that crosses national borders.
-
B.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
C.
rangeHighwayApprox
chosen
Indicates that one entity is approximately within the range or vicinity of a highway associated with another entity.
-
D.
isLocatedOnHighway
Indicates that one entity is situated along, adjacent to, or directly accessible from a specific highway.
-
E.
nearbyHighwayMilepost
Indicates that one entity is located close to a specific highway milepost associated with 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: May 3, 2026, 4:20 p.m.