Triple
T19438140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Companies, Inc. |
E486277
|
entity |
| Predicate | numberOfMemberCompanies |
P17464
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Six Companies, Inc., numberOfMemberCompanies, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMemberCompanies Context triple: [Six Companies, Inc., numberOfMemberCompanies, 6]
-
A.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
B.
hasNumberOfCompanies
chosen
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
-
C.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
-
D.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
E.
memberCompany
Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6336281b88190b1e5ad2606d7c314 |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.