Triple
T19015131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addison Circle district |
E465326
|
entity |
| Predicate | isNeighborhoodOf |
P988
|
FINISHED |
| Object | Addison, Texas |
—
|
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: Addison, Texas | Statement: [Addison Circle district, isNeighborhoodOf, Addison, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Addison, Texas Context triple: [Addison Circle district, isNeighborhoodOf, Addison, Texas]
-
A.
Addison, Texas
chosen
Addison, Texas is a small, business-focused suburb in the Dallas–Fort Worth metroplex known for its dense concentration of restaurants, corporate offices, and the Addison Airport.
-
B.
Adrian, Texas
Adrian, Texas is a small town in the Texas Panhandle best known as the midpoint of historic U.S. Route 66.
-
C.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
-
D.
Coolidge, Texas
Coolidge, Texas is a small rural town in Limestone County known for its agricultural surroundings and location in central Texas.
-
E.
Stinnett, Texas
Stinnett, Texas is a small city in the Texas Panhandle that serves as an administrative and service hub for the surrounding rural area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6d9f2a081908c0e923809da88e2 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.