Triple
T22495503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bells, Texas |
E556127
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Texoma |
—
|
NE NERFINISHED |
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: [Bells, Texas, region, Texoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texoma Context triple: [Bells, 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.
Texana
Texana is a category of historical materials, artifacts, and literature specifically related to the history, culture, and people of Texas.
-
C.
Nieuw-Texas
Nieuw-Texas is a neighborhood of the Belgian city of Genk, known as a residential district within the Limburg province.
-
D.
Como, Texas
Como, Texas is a small rural town located in Hopkins County in northeastern Texas, known for its close-knit community and agricultural surroundings.
-
E.
The Texas
The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb19bac81909bbc2f131186aeea |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.