Triple

T20025961
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Malay E494981 entity
Predicate hasBarangay P29835 FINISHED
Object Cubay Sur
Cubay Sur is a barangay (village-level administrative division) within the Municipality of Malay in the province of Aklan, Philippines.
E1407542 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: Cubay Sur | Statement: [Municipality of Malay, hasBarangay, Cubay Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cubay Sur
Context triple: [Municipality of Malay, hasBarangay, Cubay Sur]
  • A. Cubay Norte
    Cubay Norte is a barangay (village-level administrative division) within the Municipality of Malay in the Philippines.
  • B. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • C. Caibarién
    Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
  • D. Cayubaba
    Cayubaba is an indigenous language of Bolivia, spoken by the Cayubaba people in the Beni region and considered highly endangered.
  • E. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • 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: Cubay Sur
Triple: [Municipality of Malay, hasBarangay, Cubay Sur]
Generated description
Cubay Sur is a barangay (village-level administrative division) within the Municipality of Malay in the province of Aklan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cubay Sur
Target entity description: Cubay Sur is a barangay (village-level administrative division) within the Municipality of Malay in the province of Aklan, Philippines.
  • A. Cubay Norte chosen
    Cubay Norte is a barangay (village-level administrative division) within the Municipality of Malay in the Philippines.
  • B. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • C. Caibarién
    Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
  • D. Cayubaba
    Cayubaba is an indigenous language of Bolivia, spoken by the Cayubaba people in the Beni region and considered highly endangered.
  • E. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • F. None of above.

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0815f80d1481909fa95168775128c3 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816d3c71081909138d3144a108266 completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:35 p.m.