Triple
T15773114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prix du Meilleur Livre Étranger |
E382412
|
entity |
| Predicate | translationRequired |
P120272
|
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: [Prix du Meilleur Livre Étranger, translationRequired, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationRequired Context triple: [Prix du Meilleur Livre Étranger, translationRequired, true]
-
A.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
-
B.
translationHint
Indicates that one entity provides guidance or suggestions on how another entity should be translated into a different language.
-
C.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
D.
translationOn
Indicates that one entity is a translation of another entity, typically expressing the same content in a different language or linguistic form.
-
E.
translationProperty
Indicates a relationship where one entity serves as a translated counterpart or translation-specific attribute of another entity.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051976d248190adddd3db9f758e22 |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e03cc871d0819085c0fc54de7984ff |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 4:47 a.m.