Triple

T16173453
Position Surface form Disambiguated ID Type / Status
Subject Vingrau E392499 entity
Predicate near P350 FINISHED
Object Estagel E392495 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: Estagel | Statement: [Vingrau, near, Estagel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estagel
Context triple: [Vingrau, near, Estagel]
  • A. Estagel chosen
    Estagel is a small commune in southern France’s Pyrénées-Orientales department, known for its winegrowing landscape and proximity to the Corbières hills.
  • B. Transtage
    Transtage was a liquid-fueled upper stage used on the Titan III family of rockets to place payloads into high orbits and enable complex orbital maneuvers.
  • C. Stegny
    Stegny is a residential neighborhood in the Mokotów district of Warsaw, Poland, known for its large housing estates and green spaces.
  • D. Stiattesi
    Stiattesi is an Italian surname, notably borne by Prudenzia Stiattesi, a historical figure from Italy.
  • E. Stavenisse
    Stavenisse is a small village in the Dutch province of Zeeland, located on the island of Tholen and known for its dike landscapes and fishing heritage.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb9b8208190b60874cec7a3a98e completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.