Triple
T36725713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misaki Port |
E907189
|
entity |
| Predicate | majorCatch |
P201158
|
FINISHED |
| Object | tuna |
—
|
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: tuna | Statement: [Misaki Port, majorCatch, tuna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCatch Context triple: [Misaki Port, majorCatch, tuna]
-
A.
majorIncident
Indicates that an event qualifies as a serious, high-impact incident requiring urgent attention or response.
-
B.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
C.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
D.
majorCase
Indicates that a legal case is of primary importance or high significance within a given context.
-
E.
majorMine
Indicates that a mine is classified as a major or primary mining site, typically based on its scale, output, or importance.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: May 3, 2026, 4:12 p.m.