Triple

T9577644
Position Surface form Disambiguated ID Type / Status
Subject Rote languages E231084 entity
Predicate hasPart P35 FINISHED
Object Lole language
Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
E809242 NE FINISHED

How this triple was built (4 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: Lole language | Statement: [Rote languages, hasPart, Lole language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lole language
Context triple: [Rote languages, hasPart, Lole language]
  • A. Lemolang language
    Lemolang is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • B. Lewa language
    Lewa language is an Austronesian language spoken by the Sumba people on Sumba Island in eastern Indonesia.
  • C. Lavukaleve language
    Lavukaleve is a Papuan language spoken by the Lavukal people of the Russell Islands in the Solomon Islands, known for its complex grammar and status as one of the Central Solomons languages.
  • D. Lusei language
    The Lusei language is a Kuki-Chin language of the Tibeto-Burman family spoken primarily by the Lusei (Mizo) people in northeastern India, especially in Mizoram.
  • E. Luvale language
    The Luvale language is a Bantu language spoken primarily by the Luvale people of northwestern Zambia and eastern Angola.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lole language
Triple: [Rote languages, hasPart, Lole language]
Generated description
Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lole language
Target entity description: Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
  • A. Lemolang language
    Lemolang is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • B. Lewa language
    Lewa language is an Austronesian language spoken by the Sumba people on Sumba Island in eastern Indonesia.
  • C. Lavukaleve language
    Lavukaleve is a Papuan language spoken by the Lavukal people of the Russell Islands in the Solomon Islands, known for its complex grammar and status as one of the Central Solomons languages.
  • D. Lusei language
    The Lusei language is a Kuki-Chin language of the Tibeto-Burman family spoken primarily by the Lusei (Mizo) people in northeastern India, especially in Mizoram.
  • E. Luvale language
    The Luvale language is a Bantu language spoken primarily by the Luvale people of northwestern Zambia and eastern Angola.
  • F. None of above. chosen

Provenance (5 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161e6a1308190932c8386e1c24f2e completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d165a8c80081909e4d0837cbaabf95 completed April 4, 2026, 7:25 p.m.
Created at: March 30, 2026, 8:05 p.m.