Triple
T10611125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Occidental |
E276009
|
entity |
| Predicate | leadingProducerOf |
P33520
|
FINISHED |
| Object | sugar 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: sugar in the Philippines | Statement: [Negros Occidental, leadingProducerOf, sugar in the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadingProducerOf Context triple: [Negros Occidental, leadingProducerOf, sugar in the Philippines]
-
A.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
B.
notableProducer
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
-
C.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
D.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.