Triple
T21700326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardines Capital of the Philippines |
E535637
|
entity |
| Predicate | reasonForMoniker |
P7596
|
FINISHED |
| Object | leading center for sardine fishing in the Philippines |
—
|
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: leading center for sardine fishing in the Philippines | Statement: [Sardines Capital of the Philippines, reasonForMoniker, leading center for sardine fishing in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForMoniker Context triple: [Sardines Capital of the Philippines, reasonForMoniker, leading center for sardine fishing in the Philippines]
-
A.
reasonForName
Indicates the explanation or cause behind why an entity has a particular name.
-
B.
reasonForNickname
chosen
Indicates the explanation or cause behind why a particular nickname was given to an entity.
-
C.
reasonForAlias
Indicates the justification or underlying cause for which an entity uses or is assigned a particular alias.
-
D.
monikerGivenBy
Indicates that one entity assigns or bestows a particular name, nickname, or alias upon another entity.
-
E.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7edd3c8190bca83ef37598cbfb |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:45 p.m.