Triple
T1469640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowlett |
E27104
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Garland, Texas |
E98814
|
NE 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: Garland, Texas | Statement: [Rowlett, adjacentTo, Garland, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garland, Texas Context triple: [Rowlett, adjacentTo, Garland, Texas]
-
A.
Garland, Texas
chosen
Garland, Texas is a large suburban city in northeastern Texas known for its diverse community, manufacturing base, and role as a major suburb of Dallas within the Dallas–Fort Worth metropolitan area.
-
B.
Gonzales, Texas
Gonzales, Texas is a historic town best known as the site of the first battle of the Texas Revolution and the origin of the famous "Come and Take It" slogan.
-
C.
Oak Ridge, Texas
Oak Ridge, Texas is a small town located in Kaufman County in the northeastern region of the state, within the Dallas–Fort Worth metropolitan area.
-
D.
Tyler, Texas
Tyler, Texas is a mid-sized East Texas city known as the “Rose Capital of America” for its large rose industry and annual Texas Rose Festival.
-
E.
St. Paul, Texas
St. Paul, Texas is a small incorporated town in North Texas that forms part of the fast-growing Dallas–Fort Worth metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d8bb68819095b7b413247ad657 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83294c4881908411bc4f8649dbdd |
completed | March 10, 2026, 2:34 a.m. |
Created at: March 1, 2026, 8:01 p.m.