Triple
T31442876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuna Capital of the Philippines |
E802114
|
entity |
| Predicate | isMonikerOf |
P115540
|
FINISHED |
| Object | General Santos City |
—
|
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: General Santos City | Statement: [Tuna Capital of the Philippines, isMonikerOf, General Santos City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMonikerOf Context triple: [Tuna Capital of the Philippines, isMonikerOf, General Santos City]
-
A.
hasMoniker
chosen
Indicates that an entity is known by or referred to using a particular name, nickname, or alias.
-
B.
monikerGivenBy
Indicates that one entity assigns or bestows a particular name, nickname, or alias upon another entity.
-
C.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
D.
isIronicNicknameFor
Indicates that a nickname is used in an ironic or opposite-to-reality way to refer to someone or something.
-
E.
isVersionMascotFor
Indicates that one entity serves as the official mascot representing a particular version or release of 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:07 p.m.