Triple

T6574514
Position Surface form Disambiguated ID Type / Status
Subject Elmshorn E155525 entity
Predicate hasTwinTown P919 FINISHED
Object Tarascon E11137 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: Tarascon | Statement: [Elmshorn, hasTwinTown, Tarascon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarascon
Context triple: [Elmshorn, hasTwinTown, Tarascon]
  • A. Tarascon chosen
    Tarascon is a historic town in southern France, known for its medieval castle and Provençal heritage along the lower Rhône Valley.
  • B. Tarascon-sur-Ariège
    Tarascon-sur-Ariège is a small commune in southwestern France, nestled in the Pyrenees along the Ariège River and known for its scenic mountain surroundings and historic architecture.
  • C. Vaison-la-Romaine
    Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
  • D. Souillac
    Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
  • E. Nîmes
    Nîmes is a historic city in southern France renowned for its well-preserved Roman monuments, including the Arena of Nîmes and the Maison Carrée.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7134708190a0355519d117ab9c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.