Triple
T10892400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frontier Texas! |
E257211
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Frontier Texas! |
E257211
|
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: Frontier Texas! | Statement: [Frontier Texas!, name, Frontier Texas!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frontier Texas! Context triple: [Frontier Texas!, name, Frontier Texas!]
-
A.
Frontier Texas!
chosen
Frontier Texas! is an interactive history museum in Abilene that immerses visitors in the stories and experiences of the 19th-century Texas frontier.
-
B.
Texas frontier
The Texas frontier was a historically volatile border region in 19th-century Texas marked by westward expansion, conflict, and lawlessness that helped define the mythology of the American Wild West.
-
C.
Frontier Town
Frontier Town is a Western-themed section of the Cedar Point amusement park featuring rustic attractions, live entertainment, and period-style architecture.
-
D.
Frontier
Frontier is a cutting-edge exascale supercomputer recognized as one of the world’s most powerful systems for scientific research and high-performance computing.
-
E.
Frontier
Frontier is a pioneering scripting and content management system created by software developer and blogger Dave Winer, influential in the early evolution of web publishing and blogging tools.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1550d6b4081909483c5dfa6e85671 |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.