Triple
T15253302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gainesville, Texas |
E364573
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Texoma |
E32751
|
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: Texoma | Statement: [Gainesville, Texas, region, Texoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texoma Context triple: [Gainesville, Texas, region, Texoma]
-
A.
Texoma region
chosen
The Texoma region is an area spanning parts of northern Texas and southern Oklahoma centered around Lake Texoma and the communities along the Red River.
-
B.
Nieuw-Texas
Nieuw-Texas is a neighborhood of the Belgian city of Genk, known as a residential district within the Limburg province.
-
C.
The Texas
The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
-
D.
West Texas
West Texas is a vast, sparsely populated region of Texas characterized by arid landscapes, oil and gas production, and a strong ranching and cowboy culture.
-
E.
Texas Panhandle
The Texas Panhandle is the northernmost region of Texas, characterized by its flat High Plains landscape, agricultural economy, and distinctive cultural identity within the Great Plains.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f572348190bd7719805e257e03 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.