Triple

T2401764
Position Surface form Disambiguated ID Type / Status
Subject Samwise Gamgee E47785 entity
Predicate home P75 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: [Samwise Gamgee, home, Shire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shire
Context triple: [Samwise Gamgee, home, 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. Lonza
    Lonza is a global Swiss-based life sciences company specializing in pharmaceutical, biotech, and nutrition products and services, particularly in contract development and manufacturing.
  • E. Novartis
    Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8f623908190875fdbc95c944f33 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3d44b48190aa405ee612cdf57c completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.