Triple
T27422852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Census Bureau Moore County region |
E693092
|
entity |
| Predicate | stateCensusCode |
P20781
|
FINISHED |
| Object | 37 |
—
|
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: 37 | Statement: [United States Census Bureau Moore County region, stateCensusCode, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateCensusCode Context triple: [United States Census Bureau Moore County region, stateCensusCode, 37]
-
A.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
B.
stateSubdivisionCode
chosen
Indicates the standardized code that identifies a specific subdivision (such as a state, province, or region) within a larger country or territory.
-
C.
hasCensusDivisionCode
Indicates that an entity is associated with a specific census division identified by a particular code.
-
D.
stateCultFrom
Indicates that a particular cult, religious tradition, or state-sponsored worship originates from or is associated with a specific state or political entity.
-
E.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 12:36 p.m.