Triple
T6580198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pico Viejo |
E157270
|
entity |
| Predicate | hasColorFeature |
P48842
|
FINISHED |
| Object | multicolored crater floor from different lava and scoria deposits |
—
|
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: multicolored crater floor from different lava and scoria deposits | Statement: [Pico Viejo, hasColorFeature, multicolored crater floor from different lava and scoria deposits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorFeature Context triple: [Pico Viejo, hasColorFeature, multicolored crater floor from different lava and scoria deposits]
-
A.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
hasColorInfo
chosen
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
-
D.
hasApparentColor
Indicates that an entity is perceived to have a particular color under given viewing or observational conditions.
-
E.
hasRGB
Indicates that an entity possesses or is associated with a specific RGB (red, green, blue) color value.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:54 p.m.