Triple

T1760231
Position Surface form Disambiguated ID Type / Status
Subject Newark E38639 entity
Predicate hasMayor P185 FINISHED
Object Ras Baraka E127546 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: Ras Baraka | Statement: [Newark, hasMayor, Ras Baraka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ras Baraka
Context triple: [Newark, hasMayor, Ras Baraka]
  • A. Ras Baraka chosen
    Ras Baraka is an American politician, educator, and poet who serves as the progressive mayor of Newark, New Jersey.
  • B. Ras Dashen
    Ras Dashen is a prominent mountain peak in northern Ethiopia, renowned as the country’s highest summit and a key feature of the Simien Mountains.
  • C. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • D. Shabaka
    Shabaka was a Kushite pharaoh of Egypt’s 25th Dynasty, known for reviving traditional Egyptian culture and religion during his reign in the 8th century BCE.
  • E. Musa
    Musa is the name used in the Quran for the prophet Moses, a central figure in Islamic tradition known for leading the Israelites and receiving divine revelation.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64410b58819098be7dc5da23d7af completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ec80f48190bcdc92e5ed4e44e6 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.