Triple

T8256646
Position Surface form Disambiguated ID Type / Status
Subject David of Sassoun E193085 entity
Predicate residence P75 FINISHED
Object Sassoun E197130 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: Sassoun | Statement: [David of Sassoun, residence, Sassoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sassoun
Context triple: [David of Sassoun, residence, Sassoun]
  • A. Sassoun chosen
    Sassoun is a mountainous region in historic Western Armenia, famed in Armenian folklore as the homeland of the legendary heroes of the national epic.
  • B. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • C. Merkheuli
    Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
  • D. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • E. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fb91d08190904c59ccc0cd444a completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd355bef508190894bd01ec39e83f6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.