Triple
T24026652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polacca, Arizona |
E594979
|
entity |
| Predicate | isInCensusArea |
P80271
|
FINISHED |
| Object | Navajo County, Arizona |
—
|
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: Navajo County, Arizona | Statement: [Polacca, Arizona, isInCensusArea, Navajo County, Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCensusArea Context triple: [Polacca, Arizona, isInCensusArea, Navajo County, Arizona]
-
A.
includedInCensus
Indicates that an entity was recorded or counted as part of a specific census.
-
B.
isInCensusSubdivision
chosen
Indicates that one entity is located within, or falls under the jurisdiction of, a specific census subdivision.
-
C.
hasCensusAreas
Indicates that an entity is associated with one or more defined census areas used for demographic or statistical purposes.
-
D.
isInCensusDivision
Indicates that one entity (typically a geographic area or administrative unit) belongs to or is contained within a specified census division.
-
E.
isCensusDesignatedPlaceFor
Indicates that one entity is officially recognized as the census-designated place corresponding to, or associated with, another entity for statistical or administrative purposes.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76c083c819090784ecb42effbae |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.