Triple

T10200694
Position Surface form Disambiguated ID Type / Status
Subject House of Telcontar E238873 entity
Predicate alliedWith P37 FINISHED
Object Shire E261191 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: [House of Telcontar, alliedWith, Shire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shire
Context triple: [House of Telcontar, alliedWith, Shire]
  • A. Shire
    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 chosen
    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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3f3bac8190a63a81edffe7cda7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32afa75ec8190bbaf2e69b4ee24f1 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:14 p.m.