Triple
T20295196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Dürkheim |
E505328
|
entity |
| Predicate | WurstmarktKnownAs |
P139576
|
FINISHED |
| Object | one of the world’s largest wine festivals |
—
|
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: one of the world’s largest wine festivals | Statement: [Bad Dürkheim, WurstmarktKnownAs, one of the world’s largest wine festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WurstmarktKnownAs Context triple: [Bad Dürkheim, WurstmarktKnownAs, one of the world’s largest wine festivals]
-
A.
famousMarket
Indicates that a market is widely known and recognized, typically for its popularity, historical significance, or distinctive offerings.
-
B.
hasMarketHall
Indicates that an entity possesses, contains, or is associated with a market hall as part of its facilities or structures.
-
C.
notableMeatProduct
Indicates that one entity is a meat-based product that is especially prominent, well-known, or significant in relation to the other entity.
-
D.
Warsaw Old Town
Indicates the relationship of being located in or associated with the historic central district known as Warsaw Old Town.
-
E.
hasCheeseVarietyNamedAfterIt
Indicates that something has a type or variety of cheese that is named after it.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770714c4819080e3256325747ebf |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 11:15 a.m.