Triple

T10327926
Position Surface form Disambiguated ID Type / Status
Subject Quenya E242806 entity
Predicate writingSystem P454 FINISHED
Object Tengwar E778894 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: Tengwar | Statement: [Quenya, writingSystem, Tengwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tengwar
Context triple: [Quenya, writingSystem, Tengwar]
  • A. Tengwar chosen
    Tengwar is a fictional script created by J.R.R. Tolkien, most famously used to write various languages of Middle-earth such as Quenya, Sindarin, and Westron.
  • B. Aurebesh
    Aurebesh is the standardized writing system used to represent the Galactic Basic language in the Star Wars universe.
  • C. Tibirita
    Tibirita is a small municipality in the Cundinamarca Department of central Colombia, located in the Andean highlands.
  • D. Cirth
    Cirth is a runic script devised by J.R.R. Tolkien for his Middle-earth legendarium, primarily used to write the Elvish language Sindarin and other tongues.
  • E. Sindarin
    Sindarin is an Elvish language created by J.R.R. Tolkien and widely spoken by characters in his Middle-earth legendarium.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cf21e08190bf605daeea0d9dcf completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dafa9308190ae0d3c34ba0c58b1 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.