Triple

T7183684
Position Surface form Disambiguated ID Type / Status
Subject Leucate E167515 entity
Predicate hasPortion P35 FINISHED
Object La Franqui
La Franqui is a seaside resort and beach area on the Mediterranean coast of southern France, known for its windsports, wide sandy shore, and relaxed holiday atmosphere.
 E647308 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: La Franqui | Statement: [Leucate, hasPortion, La Franqui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Franqui
Context triple: [Leucate, hasPortion, La Franqui]
  • A. La Libertad
    La Libertad is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic seaside and mountain landscapes.
  • B. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • C. La República
    La República is a monumental bronze statue symbolizing the Cuban nation, prominently housed beneath the dome of Havana’s National Capitol building.
  • D. Alas de la Patria
    Alas de la Patria is the official motto of the Argentine Air Force, expressing its patriotic mission and identity.
  • E. Pro Patria
    Pro Patria is the Latin regimental motto of The Royal Canadian Regiment, expressing its dedication to service “for country.”
  • 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: La Franqui
Triple: [Leucate, hasPortion, La Franqui]
Generated description
La Franqui is a seaside resort and beach area on the Mediterranean coast of southern France, known for its windsports, wide sandy shore, and relaxed holiday atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Franqui
Target entity description: La Franqui is a seaside resort and beach area on the Mediterranean coast of southern France, known for its windsports, wide sandy shore, and relaxed holiday atmosphere.
  • A. La Libertad
    La Libertad is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and scenic seaside and mountain landscapes.
  • B. La Franja
    La Franja is the popular nickname of Mexican football club Puebla FC, referencing the distinctive diagonal stripe on the team’s jersey.
  • C. La República
    La República is a monumental bronze statue symbolizing the Cuban nation, prominently housed beneath the dome of Havana’s National Capitol building.
  • D. Alas de la Patria
    Alas de la Patria is the official motto of the Argentine Air Force, expressing its patriotic mission and identity.
  • E. Pro Patria
    Pro Patria is the Latin regimental motto of The Royal Canadian Regiment, expressing its dedication to service “for country.”
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94b058481909da9d5b21a5201de completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.