Triple
T12299640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commissioners Court in Texas |
E293184
|
entity |
| Predicate | termLengthOfCountyJudge |
P58371
|
FINISHED |
| Object | 4 years |
—
|
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: 4 years | Statement: [Commissioners Court in Texas, termLengthOfCountyJudge, 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLengthOfCountyJudge Context triple: [Commissioners Court in Texas, termLengthOfCountyJudge, 4 years]
-
A.
hasCountyJudge
Indicates that a specified jurisdiction or administrative area is served or overseen by a particular county judge.
-
B.
lengthOfJudgeship
chosen
Indicates the duration of time that an individual serves or has served in a judicial office or judgeship.
-
C.
termLengthOfJustices
Indicates the duration of time that justices serve in their official positions.
-
D.
setJudgeTermLength
Indicates setting or assigning the duration of a judge’s term of service.
-
E.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
- F. None of above.
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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.