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
On the Bridge of Avignon is a traditional French children’s song and nursery rhyme celebrating dancing and merrymaking on the famous bridge in Avignon.
 E1667859 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: On the Bridge of Avignon
Triple: [Sur le pont d’Avignon, translatedTitleInEnglish, On the Bridge of Avignon]
Generated description
On the Bridge of Avignon is a traditional French children’s song and nursery rhyme celebrating dancing and merrymaking on the famous bridge in 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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a105d06b3248190916843aa59dbcda6 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e161df88190ba6a36e7581cd4ae completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f91c8808190b902d606e0ad6d0e completed May 22, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 18, 2026, 6:29 a.m.