Triple
T28029974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoonah–Angoon Census Area |
E708236
|
entity |
| Predicate | largestCommunityByPopulation |
P6147
|
FINISHED |
| Object | Hoonah |
—
|
NE NERFINISHED |
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: Hoonah | Statement: [Hoonah–Angoon Census Area, largestCommunityByPopulation, Hoonah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestCommunityByPopulation Context triple: [Hoonah–Angoon Census Area, largestCommunityByPopulation, Hoonah]
-
A.
largestCommunityIn
chosen
Indicates that one community is the largest (by some defined measure, such as population or size) among all communities within a given area or entity.
-
B.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
C.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
D.
largestMetropolitanArea
Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
-
E.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
- 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 8:15 p.m.