Triple
T10789197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talty, Texas |
E254530
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Seagoville, Texas |
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, Texas | Statement: [Talty, Texas, adjacentTo, Seagoville, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seagoville, Texas Context triple: [Talty, Texas, adjacentTo, Seagoville, Texas]
-
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.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
C.
Groveton, Texas
Groveton, Texas is a small rural city in East Texas known as the administrative and commercial hub of Trinity County.
-
D.
Seabrook, Texas
Seabrook, Texas is a coastal city in the Greater Houston metropolitan area known for its waterfront along Galveston Bay, marinas, and proximity to the NASA Johnson Space Center.
-
E.
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.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f4b1388190a1364e56a90e8388 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbce653481909b201a2d5871e129 |
completed | April 19, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:17 p.m.