Triple
T881720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago (Magellan expedition ship) |
E19039
|
entity |
| Predicate | crewOutcome |
P20707
|
FINISHED |
| Object | crew largely survived the loss of the ship |
—
|
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: crew largely survived the loss of the ship | Statement: [Santiago (Magellan expedition ship), crewOutcome, crew largely survived the loss of the ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewOutcome Context triple: [Santiago (Magellan expedition ship), crewOutcome, crew largely survived the loss of the ship]
-
A.
crewModule
Indicates that an object functions as or contains a crew module, i.e., a section designed to house and support crew members.
-
B.
crew
Indicates that one entity serves as the group of people who operate, staff, or work on another entity (such as a vehicle, vessel, or production).
-
C.
missionAccident
Indicates that an accident or unintended harmful event occurred during the course of a mission or operation.
-
D.
missionFailure
Indicates that an attempted mission or operation did not achieve its intended objectives or outcome.
-
E.
intendedCrewVehicle
Indicates that a particular vehicle is designated or planned to be used by a specific crew.
- F. None of above. chosen
Provenance (4 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accc863c8190be9e5350732c30b1 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.