Triple
T30115405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traductions de Shakespeare |
E765401
|
entity |
| Predicate | countryOfReception |
P113516
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: [Traductions de Shakespeare, countryOfReception, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfReception Context triple: [Traductions de Shakespeare, countryOfReception, France]
-
A.
recipientCountry
chosen
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
-
B.
recipientNationality
Indicates that the recipient in a relationship or transaction has a specified national affiliation or citizenship.
-
C.
placeOfArrival
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
D.
countryOfSubmission
Indicates the country in which something (such as a document, application, or work) is formally submitted.
-
E.
placeOfReception
Indicates the location where something (such as a person, item, or message) is received or accepted.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
Created at: April 29, 2026, 7:11 p.m.