Triple
T32841480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Bounty mutineers |
E839983
|
entity |
| Predicate | initialRefuge |
P101706
|
FINISHED |
| Object | Tahiti |
—
|
NE NERFINISHED |
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: Tahiti | Statement: [HMS Bounty mutineers, initialRefuge, Tahiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialRefuge Context triple: [HMS Bounty mutineers, initialRefuge, Tahiti]
-
A.
takenAsRefugeBy
chosen
Indicates that one entity is used or relied upon by another entity as a place or source of safety, protection, or refuge.
-
B.
tookRefugeWith
Indicates that one entity sought safety, protection, or shelter by going to and staying with another entity.
-
C.
designatedAsRefuge
Indicates that an entity has been officially assigned or recognized as a refuge or place of protection.
-
D.
timeOfRefuge
Indicates the specific time period during which an entity is given or is in a state of refuge or protection.
-
E.
seeksRefugeFrom
Indicates that one entity actively looks for safety, protection, or shelter in order to escape or avoid another 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:16 a.m.