Triple

T717291
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Agde
Agde is a historic coastal commune in southern France known for its ancient Greek origins and location along the Mediterranean Sea and the Hérault River.
E123074 NE FINISHED

How this triple was built (4 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: Agde | Statement: [Occitanie, containsCity, Agde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agde
Context triple: [Occitanie, containsCity, Agde]
  • A. Aigues-Mortes
    Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
  • B. Narbonne
    Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
  • C. Tarascon
    Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
  • D. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • E. Massilia
    Massilia was the ancient Greek colony and major Mediterranean trading port that later became the modern French city of Marseille.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Agde
Triple: [Occitanie, containsCity, Agde]
Generated description
Agde is a historic coastal commune in southern France known for its ancient Greek origins and location along the Mediterranean Sea and the Hérault River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Agde
Target entity description: Agde is a historic coastal commune in southern France known for its ancient Greek origins and location along the Mediterranean Sea and the Hérault River.
  • A. Aigues-Mortes
    Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
  • B. Narbonne
    Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
  • C. Tarascon
    Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
  • D. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • E. Massilia
    Massilia was the ancient Greek colony and major Mediterranean trading port that later became the modern French city of Marseille.
  • F. None of above. chosen

Provenance (5 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4279b23c8190854732f4d6d5d6cd completed March 7, 2026, 3:21 p.m.
NEDg Description generation batch_69ac430384ec8190a307c895bb12a122 completed March 7, 2026, 3:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac437b62bc8190abfb721c570b4768 completed March 7, 2026, 3:25 p.m.
Created at: March 1, 2026, 7:37 p.m.