Triple
T4994064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opportunity |
E112200
|
entity |
| Predicate | causeOfMissionEnd |
P39192
|
FINISHED |
| Object | global dust storm leading to loss of power |
—
|
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: global dust storm leading to loss of power | Statement: [Opportunity, causeOfMissionEnd, global dust storm leading to loss of power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfMissionEnd Context triple: [Opportunity, causeOfMissionEnd, global dust storm leading to loss of power]
-
A.
reasonForEndOfMission
chosen
Indicates the cause or circumstance that led to the termination or conclusion of a mission.
-
B.
missionEnd
Indicates that a mission has concluded or reached its final state or outcome.
-
C.
causeOfExpeditionFailure
Indicates that the subject is the reason or factor that led to the failure of the expedition.
-
D.
reasonForDemise
Indicates the cause, circumstance, or factor that led to an entity’s death or termination.
-
E.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71492dec8190af4c27a3043b35cc |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.