Triple
T923333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World’s Most Admired Companies |
E19929
|
entity |
| Predicate | rankingBy |
P4846
|
FINISHED |
| Object | industry |
—
|
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: industry | Statement: [World’s Most Admired Companies, rankingBy, industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingBy Context triple: [World’s Most Admired Companies, rankingBy, industry]
-
A.
rankingType
Indicates the specific basis or method by which items are ordered or ranked relative to one another.
-
B.
rankedBy
chosen
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.
rankingBasis
Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
-
D.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
E.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b314f6fc81908a3ccc2e741e3c2b |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.