Triple
T36295408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cliff Mountain |
E893347
|
entity |
| Predicate | isInHighPeaksRegion |
P165213
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cliff Mountain, isInHighPeaksRegion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInHighPeaksRegion Context triple: [Cliff Mountain, isInHighPeaksRegion, true]
-
A.
isInHighlandRegion
chosen
Indicates that an entity is located within a highland or elevated geographic region.
-
B.
hasHigherPeaksNearby
Indicates that an entity is located near other entities whose peak elevations are higher than its own.
-
C.
isIsolatedPeak
Indicates that a peak stands distinctly apart from surrounding peaks, with significant topographic separation or prominence from nearby elevations.
-
D.
hasPeakAround
Indicates that something exhibits a maximum value, intensity, or prominence in the vicinity of a specified point, range, or condition.
-
E.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.