Triple
T2626154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 29th congressional district |
E59121
|
entity |
| Predicate | Sylvia GarciaTermStart |
P42318
|
FINISHED |
| Object | 2019 |
—
|
LITERAL 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: 2019 | Statement: [Texas's 29th congressional district, Sylvia GarciaTermStart, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Sylvia GarciaTermStart Context triple: [Texas's 29th congressional district, Sylvia GarciaTermStart, 2019]
-
A.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
-
B.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
C.
Roger MullinTermStart
Indicates the date or time period when Roger Mullin began his term in an official role or position.
-
D.
Lesley LairdTermStart
Indicates the date or time when Lesley Laird began her term in an official role or position.
-
E.
currentSecretary
Indicates that one entity currently holds the position or role of secretary for another entity.
- F. None of above. chosen
Provenance (4 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdb0bf9b881908b239c1310c7bbf3 |
completed | March 7, 2026, 8 a.m. |
Created at: March 6, 2026, 9:50 p.m.