Triple
T4483748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munster cheese |
E107185
|
entity |
| Predicate | PDORegionRequirement |
P24526
|
FINISHED |
| Object | specific areas of Alsace and Lorraine |
—
|
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: specific areas of Alsace and Lorraine | Statement: [Munster cheese, PDORegionRequirement, specific areas of Alsace and Lorraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PDORegionRequirement Context triple: [Munster cheese, PDORegionRequirement, specific areas of Alsace and Lorraine]
-
A.
eligibleRegion
chosen
Indicates the geographic area within which something (such as an offer, service, or rule) is valid, applicable, or permitted.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
regionException
Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:58 p.m.