Triple

T11501974
Position Surface form Disambiguated ID Type / Status
Subject Manus people E272684 entity
Predicate traditionalLanguage P6149 FINISHED
Object Lou language E656333 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: Lou language | Statement: [Manus people, traditionalLanguage, Lou language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou language
Context triple: [Manus people, traditionalLanguage, Lou language]
  • A. Li language
    Li language is an Austroasiatic language (often classified within the Tai–Kadai family) spoken primarily by the Li ethnic group indigenous to China’s Hainan Island.
  • B. Loniu language chosen
    The Loniu language is an Oceanic language spoken on Loniu Island in Manus Province, Papua New Guinea.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Lotuko language
    The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko people of South Sudan.
  • E. Bo language
    Bo language is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de55cbc8190be71c2d03dc044f2 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.