Triple
T36945390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker County Commissioner Precinct 3 |
E913894
|
entity |
| Predicate | numberOfSimilarPositionsInCounty |
—
|
GENERATED |
| Object | 4 |
—
|
UNRECOGNIZED GENERATED |
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.
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 (1 batch)
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. |
Created at: May 3, 2026, 4:13 p.m.