Triple
T1293681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seagoville |
E27603
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Seagoville, TX |
E27603
|
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: Seagoville, TX | Statement: [Seagoville, abbreviation, Seagoville, TX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seagoville, TX Context triple: [Seagoville, abbreviation, Seagoville, TX]
-
A.
Seagoville
chosen
Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
-
B.
Saginaw, Texas
Saginaw, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its strong railroad heritage and grain elevator industry.
-
C.
Grapevine, Texas
Grapevine, Texas is a suburban city in North Texas known for its historic downtown, wineries, and proximity to Dallas/Fort Worth International Airport.
-
D.
Ovilla, Texas
Ovilla, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known as one of the oldest towns in Ellis County.
-
E.
Farmersville, Texas
Farmersville, Texas is a small historic city in northeastern Texas known for its rural charm and location within the 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0f2eb608190a0ac47a73adae19b |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ab00888190afc7c54d9b89ae3b |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 7:51 p.m.