Triple
T23547992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Canyon of the Pacific |
E577956
|
entity |
| Predicate | hasColorationCause |
P23298
|
FINISHED |
| Object | oxidized iron in volcanic rock |
—
|
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: oxidized iron in volcanic rock | Statement: [Grand Canyon of the Pacific, hasColorationCause, oxidized iron in volcanic rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorationCause Context triple: [Grand Canyon of the Pacific, hasColorationCause, oxidized iron in volcanic rock]
-
A.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
C.
hasColorIssues
Indicates that an entity exhibits problems, defects, or inconsistencies related to its color or coloration.
-
D.
hasPigment
Indicates that one entity contains, incorporates, or is characterized by a particular pigment.
-
E.
hasCause
Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecc2af08190aec07cf9126d4e72 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.