Triple

T8430683
Position Surface form Disambiguated ID Type / Status
Subject Faramir E199106 entity
Predicate languageSpoken P151 FINISHED
Object Sindarin E238878 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: Sindarin | Statement: [Faramir, languageSpoken, Sindarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sindarin
Context triple: [Faramir, languageSpoken, Sindarin]
  • A. Sindarin chosen
    Sindarin is an Elvish language created by J.R.R. Tolkien and widely spoken by characters in his Middle-earth legendarium.
  • B. 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.
  • C. Black Speech
    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.
  • D. 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.
  • 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_69cbd1a2efa08190b92c75812003ffdb completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce0380ed948190bdba247d67769ade completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.