Triple
T23603158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol de Mañana geyser field |
E582814
|
entity |
| Predicate | surfaceColoration |
P28547
|
FINISHED |
| Object | yellowish and reddish mineral 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: yellowish and reddish mineral deposits | Statement: [Sol de Mañana geyser field, surfaceColoration, yellowish and reddish mineral deposits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceColoration Context triple: [Sol de Mañana geyser field, surfaceColoration, yellowish and reddish mineral deposits]
-
A.
surfaceColor
chosen
Indicates the color that appears on the outer visible surface of an entity.
-
B.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
C.
skinCharacteristic
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
D.
pigmentation
Indicates the presence, type, or degree of coloration in or on an entity.
-
E.
colorationCause
Indicates that one entity is the cause or source of the coloration observed in 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b095410481908446f44c402f9dc7 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.