Triple
T25145144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sur le pont d’Avignon |
E629912
|
entity |
| Predicate | translatedTitleInEnglish |
P58041
|
FINISHED |
| Object | On the Bridge of Avignon |
—
|
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: On the Bridge of Avignon | Statement: [Sur le pont d’Avignon, translatedTitleInEnglish, On the Bridge of Avignon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedTitleInEnglish Context triple: [Sur le pont d’Avignon, translatedTitleInEnglish, On the Bridge of Avignon]
-
A.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
B.
translationTitle
chosen
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
C.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
D.
translatedIn
Indicates that a work, text, or content has been rendered from its original language into another specified language or linguistic form.
-
E.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 18, 2026, 6:29 a.m.