Triple

T3199642
Position Surface form Disambiguated ID Type / Status
Subject Philippine languages E67018 entity
Predicate includesLanguage P2177 FINISHED
Object Isnag
Isnag is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
E336297 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: Isnag | Statement: [Philippine languages, includesLanguage, Isnag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isnag
Context triple: [Philippine languages, includesLanguage, Isnag]
  • A. Shipki La
    Shipki La is a high-altitude mountain pass on the India–China (Tibet) border in the Himalayas, serving as an important trade and transit route between the two countries.
  • B. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • C. Oratam
    Oratam was a Lenape sachem (chief) known for leading Native American resistance against Dutch colonial forces in 17th-century New Netherland.
  • D. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • E. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • 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: Isnag
Triple: [Philippine languages, includesLanguage, Isnag]
Generated description
Isnag is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isnag
Target entity description: Isnag is an Austronesian language spoken by the Isnag people in the northern Cordillera region of Luzon in the Philippines.
  • A. Shipki La
    Shipki La is a high-altitude mountain pass on the India–China (Tibet) border in the Himalayas, serving as an important trade and transit route between the two countries.
  • B. Meiringen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • C. Oratam
    Oratam was a Lenape sachem (chief) known for leading Native American resistance against Dutch colonial forces in 17th-century New Netherland.
  • D. Donuzlav
    Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
  • E. Seebruck
    Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9ad4b1c8190bc6ad0f025f238c8 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bbdc9908190b5d8328f6fbc6002 completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b25034bc4481909c860099cc1aa311 completed March 12, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_69b251458ab48190a374f910103763f2 completed March 12, 2026, 5:38 a.m.
Created at: March 8, 2026, 3:07 p.m.