Triple
T12021641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TX-38 |
E286163
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | TX-38 |
E286163
|
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: TX-38 | Statement: [TX-38, hasAbbreviation, TX-38]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TX-38 Context triple: [TX-38, hasAbbreviation, TX-38]
-
A.
TX-38
chosen
TX-38 is a U.S. congressional district in Texas represented in the House of Representatives.
-
B.
TX-30
TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.
-
C.
TX-35
TX-35 is the commonly used abbreviation for Texas's 35th congressional district, a U.S. House of Representatives district centered around parts of Austin and San Antonio.
-
D.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
E.
TX-20
TX-20 is a United States congressional district centered on San Antonio, Texas, known for its strong Democratic lean and significant Hispanic population.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.