Triple
T34184292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Larue Weller Bourbon |
E876913
|
entity |
| Predicate | secondaryMarketDemand |
P147555
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [William Larue Weller Bourbon, secondaryMarketDemand, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryMarketDemand Context triple: [William Larue Weller Bourbon, secondaryMarketDemand, high]
-
A.
hasSecondaryMarket
Indicates that something can be bought, sold, or traded in a secondary market beyond its original point of sale.
-
B.
laterSells
Indicates that one entity sells or transfers ownership of something to another entity at a later point in time relative to some reference event or time.
-
C.
primaryListingMarket
Indicates the market or exchange where a security is first and principally listed for trading.
-
D.
secondaryRegionSold
Indicates that an item or service was sold in a secondary (non-primary) geographic region or market.
-
E.
demandSide
chosen
Indicates a relationship where an entity represents or pertains to the consumer or buyer side of a market, focusing on demand rather than supply.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:55 a.m.