Triple
T27487215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kahalgaon |
E693770
|
entity |
| Predicate | nearestUniversitySite |
P6776
|
FINISHED |
| Object | Vikramshila ancient Buddhist university site |
—
|
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: Vikramshila ancient Buddhist university site | Statement: [Kahalgaon, nearestUniversitySite, Vikramshila ancient Buddhist university site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestUniversitySite Context triple: [Kahalgaon, nearestUniversitySite, Vikramshila ancient Buddhist university site]
-
A.
campusProximity
Indicates that one entity is located near, adjacent to, or within a short distance of a campus associated with the other entity.
-
B.
hasNearbyInstitution
chosen
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
C.
adjacentToCampusOf
Indicates that one entity is located next to or directly bordering the campus area of another entity.
-
D.
schoolWithinUniversity
Indicates that a school (such as a college, faculty, or department) is an organizational unit that is part of and contained within a specific university.
-
E.
publicUniversityCampus
Indicates that a university campus is publicly funded or state-operated rather than privately owned.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 1:03 p.m.