Triple
T27439616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rincon Peak |
E690888
|
entity |
| Predicate | isOneOfHighestPeaksNear |
P65249
|
FINISHED |
| Object | Tucson, Arizona |
—
|
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: Tucson, Arizona | Statement: [Rincon Peak, isOneOfHighestPeaksNear, Tucson, Arizona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfHighestPeaksNear Context triple: [Rincon Peak, isOneOfHighestPeaksNear, Tucson, Arizona]
-
A.
isOneOfHighestPeaksIn
Indicates that an entity is among the tallest or most elevated peaks within a specified group, region, or category.
-
B.
hasHighestPointNear
Indicates that one entity’s highest point is located close to another specified entity or location.
-
C.
isOneOfHighestSummitsIn
chosen
Indicates that a summit belongs to the group of the tallest or most elevated peaks within a specified geographic area or region.
-
D.
hasHigherPeaksNearby
Indicates that an entity is located near other entities whose peak elevations are higher than its own.
-
E.
hasNearestMountain
Indicates that one entity is the closest mountain geographically relative to 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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 12:44 p.m.