Triple
T33704097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of United Latin American Citizens v. Perry |
E863537
|
entity |
| Predicate | holding |
P2237
|
FINISHED |
| Object | the creation of Texas District 25 did not remedy the Section 2 violation affecting Latino voters in District 23 |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: the creation of Texas District 25 did not remedy the Section 2 violation affecting Latino voters in District 23 | Statement: [League of United Latin American Citizens v. Perry, holding, the creation of Texas District 25 did not remedy the Section 2 violation affecting Latino voters in District 23]
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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fab27a108190a51a1c5713b98884 |
completed | May 3, 2026, 7:35 a.m. |
Created at: May 1, 2026, 1:43 a.m.