Triple
T18892016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinal Mountains |
E462111
|
entity |
| Predicate | approximateProminenceCategory |
P105532
|
FINISHED |
| Object | high local relief |
—
|
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: high local relief | Statement: [Pinal Mountains, approximateProminenceCategory, high local relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateProminenceCategory Context triple: [Pinal Mountains, approximateProminenceCategory, high local relief]
-
A.
prominenceClass
chosen
Indicates the degree of importance, visibility, or emphasis assigned to an entity relative to others in a given context.
-
B.
approximateElevationCategory
Indicates the general elevation range or level into which an entity’s height above sea level has been coarsely grouped.
-
C.
hasProminence
Indicates that one entity stands out in importance, visibility, or influence relative to others within a given context.
-
D.
rankByProminence
Indicates that entities are ordered or assigned a position based on their level of prominence or notability relative to one another.
-
E.
hasMinimumProminence
Indicates that an entity meets or exceeds a specified threshold level of prominence or importance within a given context.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47bbf908190b141e98e3468e908 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.