Triple
T9583050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red River County Commissioner Precinct 4 |
E231219
|
entity |
| Predicate | hasNumberedPrecinct |
P89932
|
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: [Red River County Commissioner Precinct 4, hasNumberedPrecinct, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberedPrecinct Context triple: [Red River County Commissioner Precinct 4, hasNumberedPrecinct, 4]
-
A.
numberOfPrecincts
Indicates the total count of precincts associated with a given entity or jurisdiction.
-
B.
hasMunicipalDistrictNumber
Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
-
C.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
D.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
E.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cebaf081908033536a53fbf668 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:06 p.m.