Triple
T24704156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jangsaengpo Port |
E611840
|
entity |
| Predicate | whalingBanYear |
P157005
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Jangsaengpo Port, whalingBanYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whalingBanYear Context triple: [Jangsaengpo Port, whalingBanYear, 1986]
-
A.
whalingOperationsCeased
Indicates that activities involving the hunting and processing of whales have been stopped or terminated.
-
B.
whalingStationOpened
Indicates that a whaling station began operations or was officially opened at a certain time or place.
-
C.
sanctionYear
Indicates the year in which a sanction was imposed, enacted, or came into effect.
-
D.
marineSanctuaryEstablishedBy
Indicates that a marine sanctuary was created, designated, or formally established through the authority or action of a specific agent or entity.
-
E.
legalizationYear
Indicates the year in which something (typically an activity, substance, or status) was officially made legal by law.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:23 a.m.