Triple
T36988999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petaling Jaya |
E915041
|
entity |
| Predicate | majorShoppingArea |
P4285
|
FINISHED |
| Object | 1 Utama Shopping Centre |
—
|
NE NERFINISHED |
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: 1 Utama Shopping Centre | Statement: [Petaling Jaya, majorShoppingArea, 1 Utama Shopping Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorShoppingArea Context triple: [Petaling Jaya, majorShoppingArea, 1 Utama Shopping Centre]
-
A.
majorOutletOf
Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
-
B.
majorOutlet
Indicates that an entity functions as a primary or significant distribution or publication channel for another entity.
-
C.
hasShoppingDistrict
chosen
Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
-
D.
hasShoppingDistrictName
Indicates that an entity’s shopping district is identified by a specific name.
-
E.
isShoppingDistrict
Indicates that a location functions primarily as a shopping district, characterized by a concentration of retail stores and commercial shopping activity.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:14 p.m.