Triple
T7523758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shuttle Challenger |
E177839
|
entity |
| Predicate | totalCompletedMissions |
P7449
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Space Shuttle Challenger, totalCompletedMissions, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCompletedMissions Context triple: [Space Shuttle Challenger, totalCompletedMissions, 9]
-
A.
numberOfMissions
chosen
Indicates the total count of missions associated with a given entity or context.
-
B.
voyagesCompleted
Indicates that an entity has successfully finished one or more journeys or trips from departure to return.
-
C.
numberOfBattleshipsCompleted
Indicates the total count of battleships that have been fully constructed or completed.
-
D.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
-
E.
hasMissionSystem
Indicates that an entity is equipped with or associated with a specific mission-related system or subsystem.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.