Triple
T17176493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 Aggie Bonfire collapse |
E416873
|
entity |
| Predicate | universityResponse |
P126619
|
FINISHED |
| Object | creation of official commission of inquiry |
—
|
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: creation of official commission of inquiry | Statement: [1999 Aggie Bonfire collapse, universityResponse, creation of official commission of inquiry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityResponse Context triple: [1999 Aggie Bonfire collapse, universityResponse, creation of official commission of inquiry]
-
A.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
B.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
publicUniversityType
Indicates that an institution is classified as a public university, typically funded and operated by government or state authorities.
-
D.
universityName
Indicates the official name associated with a particular university.
-
E.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
- F. None of above. chosen
Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0e14e08190901b1fbccc9322ae |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.