Triple
T21342033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zavala County, Texas |
E526217
|
entity |
| Predicate | hasPostalAbbreviation |
P43
|
FINISHED |
| Object | TX |
—
|
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: TX | Statement: [Zavala County, Texas, hasPostalAbbreviation, TX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TX Context triple: [Zavala County, Texas, hasPostalAbbreviation, TX]
-
A.
TX
TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
-
B.
TX
TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
-
C.
Texa
Texa is a small, uninhabited Scottish island in the Inner Hebrides, located off the south coast of Islay.
-
D.
Texas
Texas is a Scottish pop rock band known for their melodic, radio-friendly hits and enduring success since the late 1980s.
-
E.
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.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a84fa8088190afda63af7f4ce586 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 16, 2026, 4:44 p.m.