Triple

T8837095
Position Surface form Disambiguated ID Type / Status
Subject Alor archipelago E210291 entity
Predicate hasLanguage P15 FINISHED
Object Blagar language
Blagar language is a Papuan language spoken by communities on Pura and nearby islands in Indonesia’s Alor archipelago.
E761542 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: Blagar language | Statement: [Alor archipelago, hasLanguage, Blagar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blagar language
Context triple: [Alor archipelago, hasLanguage, Blagar language]
  • A. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • B. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • C. Dazaga language
    The Dazaga language is a Saharan language spoken primarily by the Daza (Tebu) people in Chad, Niger, Libya, and surrounding regions.
  • D. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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: Blagar language
Triple: [Alor archipelago, hasLanguage, Blagar language]
Generated description
Blagar language is a Papuan language spoken by communities on Pura and nearby islands in Indonesia’s Alor archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blagar language
Target entity description: Blagar language is a Papuan language spoken by communities on Pura and nearby islands in Indonesia’s Alor archipelago.
  • A. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • B. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • C. Dazaga language
    The Dazaga language is a Saharan language spoken primarily by the Daza (Tebu) people in Chad, Niger, Libya, and surrounding regions.
  • D. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8d66cb5081908efaa1d96829ebe8 completed April 3, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69cf8defb0508190b2341ba8e79da2af completed April 3, 2026, 9:52 a.m.
Created at: March 30, 2026, 6:48 p.m.