Triple
T8088791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de la Cocina |
E188801
|
entity |
| Predicate | hasSandGrainType |
P32631
|
FINISHED |
| Object | fine sand |
—
|
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: fine sand | Statement: [Playa de la Cocina, hasSandGrainType, fine sand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSandGrainType Context triple: [Playa de la Cocina, hasSandGrainType, fine sand]
-
A.
hasSand
Indicates that something contains, is covered with, or is characterized by the presence of sand.
-
B.
hasGrainType
chosen
Indicates that an entity is characterized by or associated with a specific type of grain.
-
C.
hasSandColor
Indicates that one entity possesses or exhibits the sand-like color of another entity or color value.
-
D.
hasSedimentsThat
Indicates that one entity contains, includes, or is associated with specific sediments described by the related entity.
-
E.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421c717c819089dd88c30a6401aa |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:29 p.m.