Triple
T24371020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 南小岛 |
E614330
|
entity |
| Predicate | hasOfficialJapaneseName |
P9882
|
FINISHED |
| Object | Minami-kojima |
—
|
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: Minami-kojima | Statement: [南小岛, hasOfficialJapaneseName, Minami-kojima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialJapaneseName Context triple: [南小岛, hasOfficialJapaneseName, Minami-kojima]
-
A.
hasOfficialNameInJapanese
chosen
Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
-
B.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
-
C.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
D.
officialNameInRomaji
Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
-
E.
hasOfficialNameInLatin
Indicates that an entity has an official or formally recognized name expressed in the Latin language.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938b95188190b8f7ee1098c6088a |
completed | April 29, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.