Triple
T28701150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armada de Molucca |
E729552
|
entity |
| Predicate | numberOfSurvivorsOnReturn |
P24303
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Armada de Molucca, numberOfSurvivorsOnReturn, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurvivorsOnReturn Context triple: [Armada de Molucca, numberOfSurvivorsOnReturn, 18]
-
A.
crewSurvivorsOnReturn
chosen
Indicates that the members of a crew remained alive and successfully returned from a mission or journey.
-
B.
estimatedNumberOfSurvivors
Indicates the approximate count of individuals expected to remain alive after a specific event or situation.
-
C.
passengerSurvivors
Indicates that the related passengers survived an incident or event.
-
D.
survivorsLandingPlace
Indicates the location where survivors arrived or were brought after an incident or event.
-
E.
survivorsOnRaft
Indicates that certain individuals remain alive and present together on a specific raft after a hazardous or catastrophic event.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: April 28, 2026, 5:42 a.m.