Triple

T11691496
Position Surface form Disambiguated ID Type / Status
Subject Jarrow E277878 entity
Predicate hasTwinTown P919 FINISHED
Object Épinay-sur-Seine E689978 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: Épinay-sur-Seine | Statement: [Jarrow, hasTwinTown, Épinay-sur-Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Épinay-sur-Seine
Context triple: [Jarrow, hasTwinTown, Épinay-sur-Seine]
  • A. Epinay-sur-Seine chosen
    Epinay-sur-Seine is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods along the Seine River.
  • B. Épinay-sur-Orge
    Épinay-sur-Orge is a suburban commune in the southern outskirts of Paris, France, known for its location along the Orge River in the Essonne department.
  • C. Arcueil
    Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
  • D. Arcueil
    Arcueil is a small river in France that serves as a tributary of the Alagnon.
  • E. Boulogne-Billancourt
    Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47a3ddc819098e208611148d15b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a4c2cc81908c8acd3a1123208a completed May 10, 2026, 1:14 p.m.
Created at: April 8, 2026, 9:40 p.m.