Triple
T35428940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbier cheese |
E1024000
|
entity |
| Predicate | countryOfNamedPlace |
P118930
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Morbier cheese, countryOfNamedPlace, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfNamedPlace Context triple: [Morbier cheese, countryOfNamedPlace, France]
-
A.
countryFound
Indicates that a particular country is the location where an entity was discovered, established, or first identified.
-
B.
countryOfEponym
Indicates that the related entity is named after something (an eponym) originating from or associated with a particular country.
-
C.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
D.
countryOf
chosen
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
countryOfReferent
Indicates that one entity is the country with which the referenced entity (the referent) is associated or to which it belongs.
- F. None of above.
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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01c21d8bc481909dd9f5a6b89c0a92 |
completed | May 11, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836a3b64081908c85cded085b8b6a |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a01bff5d1508190895e5bd2c04932b0 |
completed | May 11, 2026, 11:39 a.m. |
Created at: May 3, 2026, 4:03 p.m.