Triple
T1809983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Coastal Commission |
E40308
|
entity |
| Predicate | hasBoardSize |
P32162
|
FINISHED |
| Object | 12 commissioners |
—
|
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: 12 commissioners | Statement: [California Coastal Commission, hasBoardSize, 12 commissioners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardSize Context triple: [California Coastal Commission, hasBoardSize, 12 commissioners]
-
A.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
B.
hasMinimumSize
Indicates that an entity meets or exceeds a specified minimum size threshold.
-
C.
hasNumberOfBishops
Indicates the relationship that specifies how many bishops are associated with a given entity.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab694bf6a08190a02ce2fc979e6701 |
completed | March 6, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.