Triple

T16699626
Position Surface form Disambiguated ID Type / Status
Subject canton of Algrange E405809 entity
Predicate seat P75 FINISHED
Object Algrange E824999 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: Algrange | Statement: [canton of Algrange, seat, Algrange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algrange
Context triple: [canton of Algrange, seat, Algrange]
  • A. Algrange chosen
    Algrange is a commune in northeastern France’s Grand Est region, historically shaped by iron mining and situated near the border with Luxembourg.
  • B. Grange
    Grange is a suburban residential area located within the administrative boundaries of Cork City in Ireland.
  • C. Grange
    Grange is a French surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • D. Grange
    Grange is a coastal suburb in Adelaide, South Australia, known for its beach, historic jetty, and relaxed residential character.
  • E. Grange
    Grange is an affluent residential district in the south of Edinburgh, Scotland, known for its Victorian villas and leafy streets.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.