Triple
T28392872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey legislative redistricting |
E719201
|
entity |
| Predicate | considersCriterion |
P159074
|
FINISHED |
| Object | contiguity of districts |
—
|
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: contiguity of districts | Statement: [New Jersey legislative redistricting, considersCriterion, contiguity of districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: considersCriterion Context triple: [New Jersey legislative redistricting, considersCriterion, contiguity of districts]
-
A.
proposesCriterion
Indicates that one entity suggests or puts forward a specific criterion to be considered or used by another entity or within a given context.
-
B.
valueCriterion
Indicates that something is evaluated or selected based on a specified standard, rule, or measure of value.
-
C.
establishesCriterion
Indicates that an entity defines or sets a standard, rule, or condition by which another entity is to be judged, selected, or evaluated.
-
D.
hasComparisonCriterion
Indicates that one entity is used as the basis or standard by which another entity is compared or evaluated.
-
E.
recognizedCriterion
chosen
Indicates that something is acknowledged or accepted as a valid standard, measure, or basis for judgment in a given context.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 1:14 a.m.