Triple
T19532213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio del Mar, California |
E488682
|
entity |
| Predicate | hasCensusFeatureID |
P53508
|
FINISHED |
| Object | 0661152 |
—
|
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: 0661152 | Statement: [Rio del Mar, California, hasCensusFeatureID, 0661152]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCensusFeatureID Context triple: [Rio del Mar, California, hasCensusFeatureID, 0661152]
-
A.
hasCensusFunction
Indicates that an entity holds an official role or responsibility related to conducting, managing, or supporting census activities.
-
B.
hasCensusAreas
Indicates that an entity is associated with one or more defined census areas used for demographic or statistical purposes.
-
C.
hasMunicipalAreaFeature
Indicates that a municipal area possesses or contains a specific geographic or infrastructural feature within its boundaries.
-
D.
censusNumber
chosen
Indicates the unique identifier or count assigned to an entity within an official census record.
-
E.
hasCensusDivisionCode
Indicates that an entity is associated with a specific census division identified by a particular code.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363fd1f8819080805346efad2579 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.