Triple
T29673162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowboy Capital of the World |
E750729
|
entity |
| Predicate | marketingPhraseOf |
P22461
|
FINISHED |
| Object | Bandera, Texas |
—
|
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: Bandera, Texas | Statement: [Cowboy Capital of the World, marketingPhraseOf, Bandera, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingPhraseOf Context triple: [Cowboy Capital of the World, marketingPhraseOf, Bandera, Texas]
-
A.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
B.
marketingEmphasized
Indicates that a marketing effort or message is given special focus, prominence, or priority relative to other aspects or activities.
-
C.
mainPhrase
Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
-
D.
titlePhrase
chosen
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
E.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
- F. None of above.
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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 28, 2026, 7:06 p.m.