Triple

T3330318
Position Surface form Disambiguated ID Type / Status
Subject South Semitic languages E70016 entity
Predicate includesLanguage P2177 FINISHED
Object Harari E221413 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: Harari | Statement: [South Semitic languages, includesLanguage, Harari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harari
Context triple: [South Semitic languages, includesLanguage, Harari]
  • A. Harari chosen
    Harari is an Afroasiatic Semitic language traditionally spoken by the Harari people of the historic walled city of Harar in eastern Ethiopia.
  • B. Naha Haarii
    Naha Haarii is a traditional dragon boat festival held annually in Naha, Okinawa, featuring competitive boat races and cultural celebrations to pray for good harvests and maritime safety.
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Ha-Ari
    Ha-Ari is the honorific title of Isaac Luria, the 16th-century Jewish mystic whose teachings founded modern Lurianic Kabbalah.
  • E. Xabûr
    Xabûr is the Kurdish name for the Khabur River, a significant tributary of the Tigris in the Middle East.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a810e2c8190bfc206bdeb1ac5b8 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.