Triple

T13479023
Position Surface form Disambiguated ID Type / Status
Subject Third Battle of the Scarpe (1917) E318320 entity
Predicate river P165 FINISHED
Object Scarpe E82801 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: Scarpe | Statement: [Third Battle of the Scarpe (1917), river, Scarpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarpe
Context triple: [Third Battle of the Scarpe (1917), river, Scarpe]
  • A. Scarpe chosen
    The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
  • B. Shoe
    Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
  • C. Sneakers
    "Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
  • D. Car Shoe
    Car Shoe is an Italian luxury footwear brand renowned for its handcrafted driving moccasins and casual shoes, operating under the Prada Group.
  • E. Bota
    Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.