Triple
T6512101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Highway 183 (Texas) |
E150160
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Euless, Texas |
E111319
|
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: Euless, Texas | Statement: [State Highway 183 (Texas), passesThrough, Euless, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euless, Texas Context triple: [State Highway 183 (Texas), passesThrough, Euless, Texas]
-
A.
Euless, Texas
chosen
Euless, Texas is a suburban city in Tarrant County that forms part of the Mid-Cities region between Dallas and Fort Worth.
-
B.
Little Elm, Texas
Little Elm, Texas is a rapidly growing suburban town in the Dallas–Fort Worth metroplex known for its extensive shoreline along Lewisville Lake and family-oriented community.
-
C.
Eustace, Texas
Eustace, Texas is a small rural city located in Henderson County in East Texas.
-
D.
Aledo, Texas
Aledo, Texas is a small suburban city in North Texas known for its strong public schools, rapid residential growth, and proximity to Fort Worth.
-
E.
Everman, Texas
Everman, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Fort Worth.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:44 p.m.