Triple
T26864015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inner Gorge |
E676414
|
entity |
| Predicate | lowestSectionOf |
P137774
|
FINISHED |
| Object | Grand Canyon |
—
|
NE NERFINISHED |
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: Grand Canyon | Statement: [Inner Gorge, lowestSectionOf, Grand Canyon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestSectionOf Context triple: [Inner Gorge, lowestSectionOf, Grand Canyon]
-
A.
lowerSectionType
Indicates the specific type or category assigned to the lower section of an object, structure, or entity in a larger whole.
-
B.
lowestZone
chosen
Indicates that one entity occupies or corresponds to the lowest-ranked or lowest-level zone among a set of zones.
-
C.
lowestLevelLabel
Indicates that the subject is associated with the most specific or deepest-level label in a hierarchical labeling or classification structure.
-
D.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
E.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61e961a7c81908c3a7f6aebaf1242 |
completed | May 2, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:27 a.m.