Triple
T6647604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Shackleton |
E150740
|
entity |
| Predicate | attemptedAchievement |
P41797
|
FINISHED |
| Object | first land crossing of Antarctica |
—
|
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: first land crossing of Antarctica | Statement: [Ernest Shackleton, attemptedAchievement, first land crossing of Antarctica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedAchievement Context triple: [Ernest Shackleton, attemptedAchievement, first land crossing of Antarctica]
-
A.
achievementStatus
Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
-
B.
associatedAchievement
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
-
C.
achievementDefinition
Indicates that one entity specifies or defines the criteria, properties, or structure of an achievement associated with another entity.
-
D.
challengeUndertaken
chosen
Indicates that an entity has accepted and is actively engaging in a specific challenge or demanding task.
-
E.
achieved
Indicates that an entity successfully reached, obtained, or accomplished a specified goal, result, or state.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.