Triple
T33524492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmelnytskyi wholesale market |
E858599
|
entity |
| Predicate | tradeScale |
P104214
|
FINISHED |
| Object | large-scale |
—
|
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: large-scale | Statement: [Khmelnytskyi wholesale market, tradeScale, large-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeScale Context triple: [Khmelnytskyi wholesale market, tradeScale, large-scale]
-
A.
tradeAspect
Indicates a relationship where one entity is associated with a specific aspect, feature, or dimension of a trade or commercial transaction.
-
B.
businessScale
chosen
Indicates the relative size or level of operations of a business, such as its scope, capacity, or market reach.
-
C.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
D.
tradeBloc
Indicates a formal economic relationship in which entities participate together in a trade bloc, coordinating trade policies and often reducing barriers to commerce among members.
-
E.
tradeNetwork
Indicates a relationship where entities are connected through the exchange of goods, services, or resources within an ongoing system of trade.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.