Triple

T14757935
Position Surface form Disambiguated ID Type / Status
Subject Marranunggu people E346779 entity
Predicate hasAlternativeName P39 FINISHED
Object Maranungku E1118495 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: Maranungku | Statement: [Marranunggu people, hasAlternativeName, Maranungku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maranungku
Context triple: [Marranunggu people, hasAlternativeName, Maranungku]
  • A. Marranungku chosen
    Marranungku is an Aboriginal Australian people traditionally associated with the Daly River region of the Northern Territory.
  • B. Maran
    Maran is a town and district in the Malaysian state of Pahang, known as an administrative and commercial center along the interior of the peninsula.
  • C. Maran
    Maran is an honorific title most famously associated with Rabbi Yosef Karo, the preeminent 16th-century halachic authority and author of the Shulchan Aruch.
  • D. Mararit
    Mararit is an ethnic group native to parts of Sudan and Chad, known for speaking the Mararit language within the Nilo-Saharan family.
  • E. Manjil
    Manjil is a town in northern Iran known for its strong winds and wind farms, situated in the mountainous region of Gilan Province.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24afff788190ab4925ead7ce90d2 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.