Triple
T37969772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States House of Representatives seat for Alaska |
E947246
|
entity |
| Predicate | hasNoSubdividedDistrictsWithinState |
P195628
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [United States House of Representatives seat for Alaska, hasNoSubdividedDistrictsWithinState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoSubdividedDistrictsWithinState Context triple: [United States House of Representatives seat for Alaska, hasNoSubdividedDistrictsWithinState, true]
-
A.
hasNoDefinedSubdivisions
chosen
Indicates that the entity does not have any formally established or recognized internal subdivisions.
-
B.
hasNoIncorporatedCities
Indicates that a geographic or administrative area contains no incorporated cities within its boundaries.
-
C.
hasNationalSubdivisionType
Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
-
D.
hasTwoDistrictsInState
Indicates that an entity is associated with exactly two distinct districts within a specified state.
-
E.
hasStateSubdivisionName
Indicates that an entity has a specific name for one of its internal state-level subdivisions.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.