Triple
T31703721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House of Representatives districts in Arizona |
E809124
|
entity |
| Predicate | gainedFifthSeat |
P173452
|
FINISHED |
| Object | post-1980 census |
—
|
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: post-1980 census | Statement: [United States House of Representatives districts in Arizona, gainedFifthSeat, post-1980 census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedFifthSeat Context triple: [United States House of Representatives districts in Arizona, gainedFifthSeat, post-1980 census]
-
A.
gainedFourthSeat
Indicates that an entity has obtained a fourth seat or position, typically as an additional seat beyond an existing three.
-
B.
gainedThirdSeat
Indicates that an entity has obtained a third seat (e.g., position, place, or representation) in a given context or body.
-
C.
gainedSecondSeat
Indicates that an entity has obtained a second position or seat in a governing body, organization, or representative context.
-
D.
fifthWinner
Indicates that an entity is the one that achieved fifth place (the fifth winner) in a ranked competition or event.
-
E.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 30, 2026, 11:13 p.m.