Triple

T8430782
Position Surface form Disambiguated ID Type / Status
Subject Mordor E199108 entity
Predicate languageUsed P238 FINISHED
Object Black Speech E261177 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: Black Speech | Statement: [Mordor, languageUsed, Black Speech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Speech
Context triple: [Mordor, languageUsed, Black Speech]
  • A. Black Speech chosen
    Black Speech is a harsh, artificial language devised by Sauron in J.R.R. Tolkien’s Middle-earth legendarium, chiefly associated with Mordor and the inscription on the One Ring.
  • B. Sindarin
    Sindarin is an Elvish language created by J.R.R. Tolkien and widely spoken by characters in his Middle-earth legendarium.
  • C. Westron
    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.
  • D. 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.
  • E. Ulithian
    Ulithian is a Micronesian language spoken primarily on Ulithi Atoll in the Federated States of Micronesia, closely related to the Carolinian language.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399384ec81908d3ace592d1e3aea completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.