Triple
T30093475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesterton European Market |
E764798
|
entity |
| Predicate | marketFormat |
P28316
|
FINISHED |
| Object | open-air |
—
|
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: open-air | Statement: [Chesterton European Market, marketFormat, open-air]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketFormat Context triple: [Chesterton European Market, marketFormat, open-air]
-
A.
marketForm
chosen
Indicates the type or structure of the market in which an entity operates or a transaction occurs.
-
B.
marketContext
Indicates the broader economic, competitive, and situational conditions under which a product, service, or transaction is positioned or evaluated.
-
C.
marketFunction
Indicates that an entity serves a particular role or performs a specific function within a market or economic system.
-
D.
mediaMarket
Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
-
E.
marketUse
Indicates that something is used, applied, or exploited within a market or commercial context.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 29, 2026, 7:06 p.m.