Triple

T2369283
Position Surface form Disambiguated ID Type / Status
Subject Middle-earth E46050 entity
Predicate hasLanguage P15 FINISHED
Object Westron E218720 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: Westron | Statement: [Middle-earth, hasLanguage, Westron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westron
Context triple: [Middle-earth, hasLanguage, Westron]
  • A. Westron chosen
    Westron is the common tongue of Middle-earth in J.R.R. Tolkien’s legendarium, serving as the primary language of most peoples in The Hobbit and The Lord of the Rings.
  • B. Sindarin
    Sindarin is an Elvish language created by J.R.R. Tolkien and widely spoken by characters in his Middle-earth legendarium.
  • C. Quenya
    Quenya is a fictional Elvish language created by J.R.R. Tolkien, noted for its complex grammar and melodic, Latin-like sound, and used by characters such as Aragorn in his Middle-earth legendarium.
  • D. Ulithian
    Ulithian is a Micronesian language spoken primarily on Ulithi Atoll in the Federated States of Micronesia, closely related to the Carolinian language.
  • E. Iyaric
    Iyaric is a consciously modified form of English used by Rastafarians to reflect their spiritual beliefs, cultural identity, and resistance to oppression.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76dcaa481908567a068bd61e5ad completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea89eb46481909cc01202839d417f completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:56 p.m.