Triple
T14946505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mountaineer Maniacs |
E372675
|
entity |
| Predicate | universitySection |
P29025
|
FINISHED |
| Object | student section |
—
|
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: student section | Statement: [The Mountaineer Maniacs, universitySection, student section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universitySection Context triple: [The Mountaineer Maniacs, universitySection, student section]
-
A.
universitySectionOf
chosen
Indicates that one entity is a specific section, division, or part within a larger university.
-
B.
campusSector
Indicates that one location or facility is part of, or belongs to, a specific sector or zone within a campus.
-
C.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
D.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
E.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.