Triple

T10687508
Position Surface form Disambiguated ID Type / Status
Subject Philippine Austronesian languages E251916 entity
Predicate hasMember P10 FINISHED
Object Iraya
Iraya is an Austronesian language spoken by the Iraya Mangyan people of Mindoro in the Philippines.
E879101 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: Iraya | Statement: [Philippine Austronesian languages, hasMember, Iraya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iraya
Context triple: [Philippine Austronesian languages, hasMember, Iraya]
  • A. Siya
    Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
  • B. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • C. Ilanon
    Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
  • D. Ibaan
    Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • 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: Iraya
Triple: [Philippine Austronesian languages, hasMember, Iraya]
Generated description
Iraya is an Austronesian language spoken by the Iraya Mangyan people of Mindoro in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Iraya
Target entity description: Iraya is an Austronesian language spoken by the Iraya Mangyan people of Mindoro in the Philippines.
  • A. Siya
    Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
  • B. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • C. Ilanon
    Ilanon is an alternate name for the Iranun language, an Austronesian language spoken by the Iranun people of the southern Philippines and parts of Malaysia.
  • D. Ibaan
    Ibaan is a landlocked municipality in the province of Batangas in the Philippines, known for its agricultural economy and local religious and cultural festivities.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9889d1f988190938be54771161b00 completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:10 p.m.