Triple

T1204638
Position Surface form Disambiguated ID Type / Status
Subject Greater Central Philippine languages E25859 entity
Predicate hasMember P10 FINISHED
Object Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
E138031 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: Masbateño | Statement: [Greater Central Philippine languages, hasMember, Masbateño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masbateño
Context triple: [Greater Central Philippine languages, hasMember, Masbateño]
  • A. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • B. Calabarzon
    Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
  • C. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • D. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • E. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • 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: Masbateño
Triple: [Greater Central Philippine languages, hasMember, Masbateño]
Generated description
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masbateño
Target entity description: Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
  • A. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • B. Calabarzon
    Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
  • C. Batabanó
    Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
  • D. Castro Marim
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • E. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc0f8d08190b340012a9eb26275 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3caed481908e9e4b6b9daa544d completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fa90f608190bec0c7dff1d7c9ae completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac808a919081908253d1778695ab2d completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:46 p.m.