Triple
T28316614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balut Capital of the Philippines |
E717152
|
entity |
| Predicate | isMarketingBrandFor |
P133890
|
FINISHED |
| Object | Pateros balut industry |
—
|
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: Pateros balut industry | Statement: [Balut Capital of the Philippines, isMarketingBrandFor, Pateros balut industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarketingBrandFor Context triple: [Balut Capital of the Philippines, isMarketingBrandFor, Pateros balut industry]
-
A.
isBrand
chosen
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
B.
isPremiumBrand
Indicates that a brand is classified as high-end or luxury, typically associated with superior quality, exclusivity, and higher price positioning compared to standard brands.
-
C.
associatedBrandMarket
Indicates that a brand is linked to, operates in, or targets a particular market.
-
D.
hasMarketingCategory
Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
-
E.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f644e8d81881909c9434e133df6bfd |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:21 a.m.