Triple
T15198908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benue State House of Assembly |
E363211
|
entity |
| Predicate | hasMembersTitle |
P1648
|
FINISHED |
| Object | Member of the Benue State House of Assembly |
—
|
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: Member of the Benue State House of Assembly | Statement: [Benue State House of Assembly, hasMembersTitle, Member of the Benue State House of Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembersTitle Context triple: [Benue State House of Assembly, hasMembersTitle, Member of the Benue State House of Assembly]
-
A.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
B.
hasTitleHeldByMembers
Indicates that a specific title or position is held collectively or individually by the members of a given group or organization.
-
C.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
D.
memberTitle
chosen
Indicates the formal title or designation held by a member within a group, organization, or body.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.