Triple
T32613010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Lonely Place to Die |
E833708
|
entity |
| Predicate | hasMountaineeringElements |
P196634
|
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: [A Lonely Place to Die, hasMountaineeringElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMountaineeringElements Context triple: [A Lonely Place to Die, hasMountaineeringElements, true]
-
A.
hasMountaineeringArea
Indicates that an entity is associated with or contains a designated area suitable for mountaineering activities.
-
B.
hasMountainSport
Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
-
C.
mountaineeringActivity
Indicates an activity where individuals engage in climbing or traversing mountains, often involving specialized skills and equipment.
-
D.
hasClimbingActivity
Indicates that an entity engages in or is associated with a climbing-related activity.
-
E.
hasClimbingTrail
Indicates that a location or area includes or provides access to a designated climbing trail.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69fe5ec84910819094cb15269ace7c51 |
completed | May 8, 2026, 10:08 p.m. |
Created at: May 1, 2026, 1:06 a.m.