Triple
T26105493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Mountain |
E658524
|
entity |
| Predicate | hasNoRoadToSummit |
P191556
|
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: [Esther Mountain, hasNoRoadToSummit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoRoadToSummit Context triple: [Esther Mountain, hasNoRoadToSummit, true]
-
A.
hasStaircaseToSummit
Indicates that there exists a staircase providing a direct route or access from a lower point to the summit of something.
-
B.
hasNotableClimbingRoute
Indicates that an entity is associated with a climbing route that is recognized as significant, famous, or otherwise noteworthy.
-
C.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
-
D.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
-
E.
hasSettlementOnSummit
Indicates that a settlement is located on or at the summit (top) of a geographic feature.
- F. None of above. chosen
Provenance (4 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 26, 2026, 7:58 p.m.