Triple
T503128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Urban League |
E10441
|
entity |
| Predicate | numberOfAffiliates |
P1721
|
FINISHED |
| Object | 90+ |
—
|
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: 90+ | Statement: [National Urban League, numberOfAffiliates, 90+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAffiliates Context triple: [National Urban League, numberOfAffiliates, 90+]
-
A.
numberOfAssociateMembers
Indicates the total count of associate members linked to a given entity.
-
B.
hasAffiliate
chosen
Indicates that one entity is formally associated with another as an affiliate, typically through a partnership, membership, or subordinate organizational relationship.
-
C.
numberOfSubscribers
Indicates the total count of subscribers associated with a given entity.
-
D.
numberOfAnchorTenants
Indicates the count of primary or major tenants associated with a given property or location.
-
E.
numberOfOffices
Indicates the total count of offices associated with a given entity.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1357738819085eae6c10fa2fca9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.