Triple
T1675314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Building (Balboa Park) |
E36217
|
entity |
| Predicate | exteriorFinish |
P19176
|
FINISHED |
| Object | stucco |
—
|
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: stucco | Statement: [California Building (Balboa Park), exteriorFinish, stucco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exteriorFinish Context triple: [California Building (Balboa Park), exteriorFinish, stucco]
-
A.
exteriorMaterial
chosen
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
B.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
-
C.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
D.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
E.
hasFrontDoorColor
Indicates that an entity’s front door is characterized by a specific color.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.