Triple
T12155578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adamawa State House of Assembly (seat) |
E289565
|
entity |
| Predicate | typeOfLegislatureServed |
P75281
|
FINISHED |
| Object | unicameral state legislature |
—
|
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: unicameral state legislature | Statement: [Adamawa State House of Assembly (seat), typeOfLegislatureServed, unicameral state legislature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLegislatureServed Context triple: [Adamawa State House of Assembly (seat), typeOfLegislatureServed, unicameral state legislature]
-
A.
legislatureTypeServed
chosen
Indicates the type of legislative body in which an entity has served (e.g., national, state, or local legislature).
-
B.
legislatureServed
Indicates that an individual has served as a member of a specific legislative body during some period of time.
-
C.
legislativeChamberServed
Indicates that an individual has served as a member of a specified legislative chamber.
-
D.
stateLegislativeBodyServedIn
Indicates the specific state-level legislative body in which an individual has served as a member.
-
E.
positionHeldInLegislature
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.