Triple

T11109369
Position Surface form Disambiguated ID Type / Status
Subject Daanbantayan E262714 entity
Predicate hasBarangay P29835 FINISHED
Object Malbago
Malbago is a coastal barangay in the municipality of Daanbantayan in northern Cebu, Philippines.
 E906341 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: Malbago | Statement: [Daanbantayan, hasBarangay, Malbago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malbago
Context triple: [Daanbantayan, hasBarangay, Malbago]
  • A. Agulo
    Agulo is a small, picturesque coastal village and municipality on the island of La Gomera in Spain’s Canary Islands, known for its traditional architecture and dramatic cliffside scenery.
  • B. Tubigon
    Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
  • C. Agoncillo
    Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
  • D. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • E. Malungon
    Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
  • 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: Malbago
Triple: [Daanbantayan, hasBarangay, Malbago]
Generated description
Malbago is a coastal barangay in the municipality of Daanbantayan in northern Cebu, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malbago
Target entity description: Malbago is a coastal barangay in the municipality of Daanbantayan in northern Cebu, Philippines.
  • A. Agulo
    Agulo is a small, picturesque coastal village and municipality on the island of La Gomera in Spain’s Canary Islands, known for its traditional architecture and dramatic cliffside scenery.
  • B. Tubigon
    Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
  • C. Agoncillo
    Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
  • D. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • E. Malungon
    Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6896c0819082685b5b4600d158 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.