Triple

T11109375
Position Surface form Disambiguated ID Type / Status
Subject Daanbantayan E262714 entity
Predicate hasBarangay P29835 FINISHED
Object Gibitngil
Gibitngil is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its coastal scenery and marine activities.
E906345 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: Gibitngil | Statement: [Daanbantayan, hasBarangay, Gibitngil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibitngil
Context triple: [Daanbantayan, hasBarangay, Gibitngil]
  • A. Giralang
    Giralang is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • B. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • C. Ginatilan
    Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
  • D. Dinalungan
    Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
  • E. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • 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: Gibitngil
Triple: [Daanbantayan, hasBarangay, Gibitngil]
Generated description
Gibitngil is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its coastal scenery and marine activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gibitngil
Target entity description: Gibitngil is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its coastal scenery and marine activities.
  • A. Giralang
    Giralang is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
  • B. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • C. Ginatilan
    Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
  • D. Dinalungan
    Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
  • E. Kabugao
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • 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.