Triple
T1384485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allahabad |
E29812
|
entity |
| Predicate | isMajorEducationCenter |
P17806
|
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: [Allahabad, isMajorEducationCenter, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorEducationCenter Context triple: [Allahabad, isMajorEducationCenter, Yes]
-
A.
isEducationalCenterOf
Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
-
B.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
-
C.
isAcademicCenter
chosen
Indicates that an entity functions as an academic center, typically serving as a hub for education, research, or scholarly activities within an institution.
-
D.
isMajorCenterOf
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
-
E.
isLargestCampusOf
Indicates that one campus is the largest (by size, area, or capacity) among all campuses belonging to a particular institution or organization.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c33896548190b44f70c9aaaed9b6 |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befe343c81909f758440a531b5be |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.