Triple
T35708669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conte fantastique |
E1031789
|
entity |
| Predicate | firstPerformanceLocationCountry |
P9574
|
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: [Conte fantastique, firstPerformanceLocationCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformanceLocationCountry Context triple: [Conte fantastique, firstPerformanceLocationCountry, France]
-
A.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
B.
firstPerformanceOfWorkCountry
Indicates the country in which a particular work was first performed.
-
C.
firstPerformanceCountry
chosen
Indicates the country in which something (such as a work, show, or performance) was first performed.
-
D.
countryOfFirstEvent
Indicates the country in which the first event in a sequence or series took place.
-
E.
firstPerformanceLocationOfWorkAppearingIn
Indicates the location where a work was first performed or premiered.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d0ea08c81908cc36e99b055c45f |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.