Triple
T31324381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French frigate Méduse |
E798840
|
entity |
| Predicate | approximatePeopleOnRaft |
P111137
|
FINISHED |
| Object | 147 |
—
|
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: 147 | Statement: [French frigate Méduse, approximatePeopleOnRaft, 147]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximatePeopleOnRaft Context triple: [French frigate Méduse, approximatePeopleOnRaft, 147]
-
A.
survivorsOnRaft
Indicates that certain individuals remain alive and present together on a specific raft after a hazardous or catastrophic event.
-
B.
approximateNumberOfBoats
Indicates an estimated or roughly counted quantity of boats associated with an entity.
-
C.
timeAdriftOnRaft
Indicates the duration that an entity has spent drifting on a raft without reaching land or rescue.
-
D.
hasApproximateNumberOfPeople
chosen
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
-
E.
estimatedNumberOfPeopleSaved
Indicates the approximate count of individuals whose lives were preserved or harm was averted as a result of a particular action, intervention, or entity.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: April 29, 2026, 9:15 p.m.