Triple
T4753373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandes Jorasses north face |
E105528
|
entity |
| Predicate | isObjectiveOf |
P32133
|
FINISHED |
| Object | serious alpine expeditions |
—
|
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: serious alpine expeditions | Statement: [Grandes Jorasses north face, isObjectiveOf, serious alpine expeditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isObjectiveOf Context triple: [Grandes Jorasses north face, isObjectiveOf, serious alpine expeditions]
-
A.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
B.
followsObjective
Indicates that one entity pursues, adheres to, or acts in accordance with the goal, plan, or objective defined by another entity.
-
C.
objectiveIncludes
chosen
Indicates that a broader objective encompasses or contains a specific sub-objective, component, or element as part of its scope.
-
D.
actorObjective
Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
-
E.
notableObjective
Indicates that an entity has a significant, distinguished, or widely recognized goal, purpose, or target associated with it.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e72d1c81908eb60960751e52b1 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.