Triple
T8324396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkern |
E194912
|
entity |
| Predicate | hasTraditionalPubs |
P81946
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Walkern, hasTraditionalPubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalPubs Context triple: [Walkern, hasTraditionalPubs, true]
-
A.
hasBreweryScene
Indicates that a scene or event takes place in, or prominently features, a brewery.
-
B.
hasMajorBrewery
Indicates that a location or entity possesses or hosts a large, commercially significant brewery.
-
C.
hasTraditionIn
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
D.
hasTraditionalCommunity
Indicates that an entity possesses or is associated with a community that maintains traditional practices, customs, or ways of life.
-
E.
containsTraditionalCity
Indicates that one entity geographically or administratively includes or encompasses a traditional city within its boundaries.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7e4f8081908e0f876ad962c932 |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:56 p.m.