Triple
T704284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equifax |
E14065
|
entity |
| Predicate | positionInMarket |
P5598
|
FINISHED |
| Object | one of the three major U.S. credit bureaus |
—
|
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: one of the three major U.S. credit bureaus | Statement: [Equifax, positionInMarket, one of the three major U.S. credit bureaus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMarket Context triple: [Equifax, positionInMarket, one of the three major U.S. credit bureaus]
-
A.
marketPosition
Indicates the relative standing or rank an entity holds within a specific market compared to its competitors.
-
B.
positionInIndustry
chosen
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
C.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
D.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
E.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.