Triple
T7309587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quetta |
E168056
|
entity |
| Predicate | isTradeCenterFor |
P17489
|
FINISHED |
| Object | fruit from Balochistan |
—
|
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: fruit from Balochistan | Statement: [Quetta, isTradeCenterFor, fruit from Balochistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTradeCenterFor Context triple: [Quetta, isTradeCenterFor, fruit from Balochistan]
-
A.
isTradingCenter
chosen
Indicates that a place functions as a central hub where goods, services, or financial instruments are actively exchanged or traded.
-
B.
isFashionCenterFor
Indicates that something serves as a primary hub or focal point for fashion-related activities, influence, or industry.
-
C.
hasTradeFairCenter
Indicates that a place or organization possesses or hosts a dedicated trade fair center where exhibitions or trade fairs are held.
-
D.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
E.
isTradeOriented
Indicates that an entity is primarily focused on commercial exchange, market activities, or trade-related objectives in its operations or behavior.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebdbd6f481908e69e53dab452656 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.