Triple
T21700336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardines Capital of the Philippines |
E535637
|
entity |
| Predicate | associatedLocalEconomy |
P114644
|
FINISHED |
| Object | fishing sector of Zamboanga City |
—
|
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: fishing sector of Zamboanga City | Statement: [Sardines Capital of the Philippines, associatedLocalEconomy, fishing sector of Zamboanga City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLocalEconomy Context triple: [Sardines Capital of the Philippines, associatedLocalEconomy, fishing sector of Zamboanga City]
-
A.
localEconomyImpact
Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
-
B.
nearbyEconomicActivity
Indicates that there is economic activity occurring in close physical proximity to the referenced entity.
-
C.
regionalEconomyActivity
chosen
Indicates the type or level of economic activity occurring within a specific geographic region.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
hasNearbyEconomicRegion
Indicates that one economic region is geographically close to or adjacent to another economic region.
- 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.