Triple

T5846836
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Iranian languages E129731 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Sanglechi-Ishkashimi E372341 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: Sanglechi-Ishkashimi | Statement: [Southeastern Iranian languages, hasNotableLanguage, Sanglechi-Ishkashimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanglechi-Ishkashimi
Context triple: [Southeastern Iranian languages, hasNotableLanguage, Sanglechi-Ishkashimi]
  • A. Ishkashimi chosen
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • B. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • C. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • D. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • E. Otachi
    Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0351157508190a78d2a7141e0cee8 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712707de88190b408ab01dd025954 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 3:55 p.m.