Triple
T17209903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern California Timing Association |
E417699
|
entity |
| Predicate | surfaceTypeUsed |
P1242
|
FINISHED |
| Object | salt flats |
—
|
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: salt flats | Statement: [Southern California Timing Association, surfaceTypeUsed, salt flats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceTypeUsed Context triple: [Southern California Timing Association, surfaceTypeUsed, salt flats]
-
A.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
C.
surfaceTypeAround
Indicates the type or nature of the surface that surrounds or is immediately adjacent to a given entity.
-
D.
surfaceColor
Indicates the color that appears on the outer visible surface of an entity.
-
E.
surfaceDescription
Indicates that one entity provides a textual or qualitative description of the surface characteristics or appearance of another entity.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.