Triple
T9842233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyay |
E239253
|
entity |
| Predicate | isRegionalTradingCenter |
P50530
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pyay, isRegionalTradingCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRegionalTradingCenter Context triple: [Pyay, isRegionalTradingCenter, true]
-
A.
isTradingCenter
Indicates that a place functions as a central hub where goods, services, or financial instruments are actively exchanged or traded.
-
B.
isRegionalServiceCentre
chosen
Indicates that an entity functions as a regional service center responsible for providing services or support to a defined geographic area.
-
C.
isOneOfLargestStockExchangesIn
Indicates that an entity ranks among the largest stock exchanges within a specified country or region.
-
D.
isSoleSecuritiesMarketOf
Indicates that one securities market is the only market on which a given security or set of securities is traded.
-
E.
isRegionalMall
Indicates that a shopping mall is classified as a regional mall, typically serving a broad geographic area with a wide range of stores and services.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34e3420819084bb31170e643cd0 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.