Triple

T10184839
Position Surface form Disambiguated ID Type / Status
Subject Battle of Shire E236880 entity
Predicate locatedIn P40 FINISHED
Object Shire E252968 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: Shire | Statement: [Battle of Shire, locatedIn, Shire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shire
Context triple: [Battle of Shire, locatedIn, Shire]
  • A. Shire chosen
    Shire is a town in Ethiopia’s northern Tigray Region, known as a local administrative and commercial center and for its proximity to historic sites such as Axum.
  • B. Shire
    The Shire is a peaceful, rural region in J.R.R. Tolkien's Middle-earth, inhabited primarily by hobbits and known for its pastoral beauty and simple, agrarian lifestyle.
  • C. Roche
    Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
  • D. Roche
    Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
  • E. Ipsen
    Ipsen is a global biopharmaceutical company headquartered in France, focused on specialty care areas such as oncology, neuroscience, and rare diseases.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded36e9808190b385c5aec4889e00 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317a4d99c8190941322d3de2998f5 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.