Triple
T33288617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Flair Festival |
E852252
|
entity |
| Predicate | hasMerchandiseStalls |
P198119
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Open Flair Festival, hasMerchandiseStalls, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMerchandiseStalls Context triple: [Open Flair Festival, hasMerchandiseStalls, yes]
-
A.
marketStallsCountApprox
Indicates that the number of market stalls associated with an entity is known only approximately rather than as an exact count.
-
B.
hasArtsAndCraftsVendors
Indicates that there are vendors present who sell or provide arts and crafts.
-
C.
hasMarketHall
Indicates that an entity possesses, contains, or is associated with a market hall as part of its facilities or structures.
-
D.
hasFoodVendors
Indicates that one entity provides or hosts food vendors that operate at or within another entity.
-
E.
hasExtensiveMerchandise
Indicates that an entity offers a large and varied range of merchandise or products.
- F. None of above. chosen
Provenance (4 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
| PDg | Predicate description generation | batch_69fecb4be24481908bda6197d7fc32f4 |
completed | May 9, 2026, 5:51 a.m. |
Created at: May 1, 2026, 1:32 a.m.