Triple
T16470194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Four |
E400039
|
entity |
| Predicate | numberOfCompanies |
P17464
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Big Four, numberOfCompanies, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCompanies Context triple: [Big Four, numberOfCompanies, 4]
-
A.
hasNumberOfCompanies
chosen
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
-
B.
numberOfRegionalCorporations
Indicates the quantity of regional corporations associated with or defined for a given entity.
-
C.
targetCompanies
Indicates that certain companies are the intended focus or recipients of a particular action, effort, or objective.
-
D.
includesCompaniesFrom
Indicates that a collection, group, or set contains or incorporates one or more companies as its members or elements.
-
E.
hasCompanyName
Indicates that an entity is associated with or identified by a specific company name.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcfed6c8190b8dbe4b65b0ab817 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.