Triple

T5173685
Position Surface form Disambiguated ID Type / Status
Subject Malepère AOC E116743 entity
Predicate nearCity P350 FINISHED
Object Carcassonne E90283 NE 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: Carcassonne | Statement: [Malepère AOC, nearCity, Carcassonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carcassonne
Context triple: [Malepère AOC, nearCity, Carcassonne]
  • A. Carcassonne chosen
    Carcassonne is a historic fortified city in southern France renowned for its medieval citadel with double walls and numerous watchtowers.
  • B. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • C. Crevel
    Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
  • D. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • E. Cour Carrée
    Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd796f7c308190a721e33aabd499ac completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94a6ed08190b035afa20123c737 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.