Triple
T12118616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johari Bazaar |
E288630
|
entity |
| Predicate | primaryProductCategory |
P64612
|
FINISHED |
| Object | jewelry and ornaments |
—
|
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: jewelry and ornaments | Statement: [Johari Bazaar, primaryProductCategory, jewelry and ornaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProductCategory Context triple: [Johari Bazaar, primaryProductCategory, jewelry and ornaments]
-
A.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
B.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
C.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
D.
coreCategory
chosen
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
E.
primaryDeviceCategory
Indicates the main type or class of device associated with an entity or event, distinguishing it from other possible device categories.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.