Triple
T3889559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucson, Arizona, United States |
E88025
|
entity |
| Predicate | majorUrbanAreaOf |
P48921
|
FINISHED |
| Object | southern Arizona |
—
|
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: southern Arizona | Statement: [Tucson, Arizona, United States, majorUrbanAreaOf, southern Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorUrbanAreaOf Context triple: [Tucson, Arizona, United States, majorUrbanAreaOf, southern Arizona]
-
A.
majorUrbanCenterIn
chosen
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
B.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
-
C.
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.
-
D.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
-
E.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.