Triple

T11047314
Position Surface form Disambiguated ID Type / Status
Subject Harad E261165 entity
Predicate knownFor P22 FINISHED
Object mûmakil E732686 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: mûmakil | Statement: [Harad, knownFor, mûmakil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mûmakil
Context triple: [Harad, knownFor, mûmakil]
  • A. Mûmakil chosen
    The Mûmakil are gigantic, elephant-like war beasts from J.R.R. Tolkien’s Middle-earth, most famously used as living siege engines by the forces of Sauron.
  • B. mun
    The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
  • C. Mulukhiyah
    Mulukhiyah is a traditional Middle Eastern and North African dish made from finely chopped jute leaves, typically cooked into a garlicky, spiced green stew often served with rice or bread.
  • D. mun2
    mun2 was a U.S. Spanish-language cable television network targeting young Latino audiences, later rebranded as NBC Universo.
  • E. MUHBA
    MUHBA is Barcelona’s city history museum, dedicated to preserving and showcasing the urban, archaeological, and cultural heritage of Barcelona.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798315b988190bc565581b2664009 completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9fad8248190810e097d148655f5 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.