Triple
T2793420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas |
E61979
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Lone Star State |
E548
|
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: Lone Star State | Statement: [Texas, hasNickname, Lone Star State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lone Star State Context triple: [Texas, hasNickname, Lone Star State]
-
A.
The Texas
The Texas is a historic steam locomotive famed for its role in the 1862 Great Locomotive Chase during the American Civil War.
-
B.
Texas
chosen
Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
-
C.
Peach State
Peach State is a popular nickname for the U.S. state of Georgia, referencing its reputation for producing high-quality peaches.
-
D.
Sunflower State
The Sunflower State is the popular nickname for Kansas, a U.S. state known for its vast plains and fields of sunflowers.
-
E.
Coahuila y Tejas
Coahuila y Tejas was a Mexican state in the early 19th century that combined the regions of Coahuila and Texas before Texas’s independence and the formation of the Republic of Texas.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e0668748190ad09ce0fabc0fefe |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:58 p.m.