Triple
T36945390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker County Commissioner Precinct 3 |
E913894
|
entity |
| Predicate | numberOfSimilarPositionsInCounty |
P43984
|
FINISHED |
| Object | 4 |
—
|
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 | Statement: [Parker County Commissioner Precinct 3, numberOfSimilarPositionsInCounty, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSimilarPositionsInCounty Context triple: [Parker County Commissioner Precinct 3, numberOfSimilarPositionsInCounty, 4]
-
A.
numberPerCounty
chosen
Indicates the quantity or count of something associated with each individual county.
-
B.
sharesCountyWith
Indicates that two entities are located within the same county jurisdiction.
-
C.
hasNearbyCounty
Indicates that one county is geographically close to or directly adjacent to another county.
-
D.
populationRankInCounty
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
E.
eachCountyHas
Indicates that for every county in a given set or context, there exists at least one associated item, attribute, or entity satisfying a specified condition.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.