Triple
T24451831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fallen Leaf |
E616561
|
entity |
| Predicate | isPartOfCensusCounty |
P23957
|
FINISHED |
| Object | Contra Costa County, California |
—
|
NE NERFINISHED |
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: Contra Costa County, California | Statement: [Fallen Leaf, isPartOfCensusCounty, Contra Costa County, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCensusCounty Context triple: [Fallen Leaf, isPartOfCensusCounty, Contra Costa County, California]
-
A.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
B.
inCounty
chosen
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
C.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
D.
isPartOfMicropolitanArea
Indicates that an entity belongs to or is included within a designated micropolitan area.
-
E.
includedInCensus
Indicates that an entity was recorded or counted as part of a specific census.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2985848748190ae0e436b2e83f249 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.