Triple
T6123597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morro Branco |
E136540
|
entity |
| Predicate | hasNaturalMaterial |
P46735
|
FINISHED |
| Object | colored sands used in bottles |
—
|
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: colored sands used in bottles | Statement: [Morro Branco, hasNaturalMaterial, colored sands used in bottles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalMaterial Context triple: [Morro Branco, hasNaturalMaterial, colored sands used in bottles]
-
A.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
B.
naturalOrArtificial
Indicates that something is classified as either naturally occurring or artificially created.
-
C.
isNaturalFiber
Indicates that a material or textile is made from fibers derived from natural sources rather than synthetic ones.
-
D.
hasPhysicalNature
Indicates that one entity possesses or exhibits a specific physical form, composition, or material nature in relation to another.
-
E.
hasSourceMaterial
chosen
Indicates that something is derived from, based on, or created using a particular source material.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.