Triple
T9315471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennis, Texas |
E224105
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Ennis, TX |
E224105
|
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: Ennis, TX | Statement: [Ennis, Texas, abbreviation, Ennis, TX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ennis, TX Context triple: [Ennis, Texas, abbreviation, Ennis, TX]
-
A.
Ennis, Texas
chosen
Ennis, Texas is a small city in North Texas known for its annual National Polka Festival and its designation as the “Official Bluebonnet City of Texas.”
-
B.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
-
C.
Willis, Texas
Willis, Texas is a small city in Montgomery County that serves as a northern suburban community within the Greater Houston metropolitan area.
-
D.
Annetta, Texas
Annetta, Texas is a small residential town in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
-
E.
Burleson, Texas
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7acba54819086da668f234321de |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.