Triple
T18720678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California legislative districts |
E457764
|
entity |
| Predicate | designCriteria |
P132417
|
FINISHED |
| Object | contiguity |
—
|
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 | Statement: [California legislative districts, designCriteria, contiguity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designCriteria Context triple: [California legislative districts, designCriteria, contiguity]
-
A.
designStandardizedIn
Indicates that something is designed according to the rules, formats, or specifications defined within a particular standard or standardization framework.
-
B.
designOutcome
Indicates the result, effect, or consequence produced by a particular design or design process.
-
C.
designDescription
Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
-
D.
designCompromiseFor
Indicates a relationship where a design is adjusted or balanced to reach a compromise that addresses the needs, constraints, or preferences of a particular entity or situation.
-
E.
designMethod
Indicates that one entity is used as the method, approach, or technique by which another entity is designed or created.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab9e0dc8190bf579d7e89e941f4 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.