Triple
T14520569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.D. Tex. |
E340637
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object | Victoria, Texas |
E372884
|
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: Victoria, Texas | Statement: [S.D. Tex., hasSeat, Victoria, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victoria, Texas Context triple: [S.D. Tex., hasSeat, Victoria, Texas]
-
A.
Victoria, Texas
chosen
Victoria, Texas is a small city in southeastern Texas that serves as a regional hub for commerce, healthcare, and legal services along the Gulf Coast.
-
B.
Van, Texas
Van, Texas is a small city in East Texas known historically for its oil production and close-knit rural community.
-
C.
Justin, Texas
Justin, Texas is a small city in Denton County within the Dallas–Fort Worth metropolitan area, known for its rural character and proximity to major urban centers.
-
D.
Vega, Texas
Vega, Texas is a small city in the Texas Panhandle that serves as the administrative and commercial hub of Oldham County.
-
E.
Venus, Texas
Venus, Texas is a small town in Johnson and Ellis counties 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d445c4848190b5c97bb27be6c749 |
completed | May 10, 2026, 6:53 p.m. |
Created at: April 10, 2026, 1:22 a.m.