Triple
T385522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haas School of Business |
E8771
|
entity |
| Predicate | rankingCategory |
P10762
|
FINISHED |
| Object | top U.S. business schools |
—
|
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: top U.S. business schools | Statement: [Haas School of Business, rankingCategory, top U.S. business schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingCategory Context triple: [Haas School of Business, rankingCategory, top U.S. business schools]
-
A.
rankingBasis
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
B.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
C.
rankingMember
Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
-
D.
selectionRankingEndPoint
Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.