Triple
T10859690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gio people |
E256364
|
entity |
| Predicate | initiationInstitution |
P96107
|
FINISHED |
| Object | secret societies |
—
|
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: secret societies | Statement: [Gio people, initiationInstitution, secret societies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiationInstitution Context triple: [Gio people, initiationInstitution, secret societies]
-
A.
beneficiaryInstitution
Indicates that an institution is the recipient or beneficiary of an action, service, or resource.
-
B.
hasFinancialInstitution
Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
-
C.
insuredInstitutionType
Indicates the type or category of institution that is covered under an insurance arrangement or policy.
-
D.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
E.
isMajorInstitutionIn
Indicates that an institution is a primary or highly significant organization located within or associated with a particular place or region.
- F. None of above. chosen
Provenance (4 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:20 p.m.