Triple
T37270800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamalera |
E924506
|
entity |
| Predicate | legalStatusOfWhaling |
P201416
|
FINISHED |
| Object | treated as traditional subsistence exception in Indonesia |
—
|
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: treated as traditional subsistence exception in Indonesia | Statement: [Lamalera, legalStatusOfWhaling, treated as traditional subsistence exception in Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfWhaling Context triple: [Lamalera, legalStatusOfWhaling, treated as traditional subsistence exception in Indonesia]
-
A.
whalingType
Indicates the specific method or category of whaling activity associated with an entity.
-
B.
whalingOperationsCeased
Indicates that activities involving the hunting and processing of whales have been stopped or terminated.
-
C.
whalingBanYear
Indicates the year in which a ban on whaling was enacted or came into effect.
-
D.
whalingTarget
Indicates that an entity (typically a person or organization) is the intended victim or focus of a whaling attack, i.e., a highly targeted phishing or social engineering attempt.
-
E.
historicalPeriodOfWhaling
Indicates the historical time period during which the whaling activity associated with an entity took place.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fff327d7788190a41ea5cbae060177 |
completed | May 10, 2026, 2:53 a.m. |
Created at: May 3, 2026, 4:15 p.m.