Triple
T6719329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montecito |
E153354
|
entity |
| Predicate | hasCensusPopulation |
P5555
|
FINISHED |
| Object | approximately 8,000 (2020 census) |
—
|
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: approximately 8,000 (2020 census) | Statement: [Montecito, hasCensusPopulation, approximately 8,000 (2020 census)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCensusPopulation Context triple: [Montecito, hasCensusPopulation, approximately 8,000 (2020 census)]
-
A.
hasPopulationAsOf
chosen
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
B.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
-
C.
censusNumber
Indicates the unique identifier or count assigned to an entity within an official census record.
-
D.
basedOnCensusYear
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
E.
census
Indicates that an official count or survey is conducted to determine the number and characteristics of a population within a defined area or group.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d135d27c819088c45839ad0e7bab |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:07 p.m.