Triple

T18768820
Position Surface form Disambiguated ID Type / Status
Subject Kalibo, Aklan E458959 entity
Predicate hasBarangays P13208 FINISHED
Object Tigayon
Tigayon is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
 E1341478 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: Tigayon | Statement: [Kalibo, Aklan, hasBarangays, Tigayon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tigayon
Context triple: [Kalibo, Aklan, hasBarangays, Tigayon]
  • A. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • B. Tutuyan
    Tutuyan is a town in North Sulawesi, Indonesia, serving as the administrative and political center of East Bolaang Mongondow Regency.
  • C. Tabiang
    Tabiang is a village on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • D. Talaytay
    Talaytay is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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: Tigayon
Triple: [Kalibo, Aklan, hasBarangays, Tigayon]
Generated description
Tigayon is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tigayon
Target entity description: Tigayon is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
  • A. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • B. Tutuyan
    Tutuyan is a town in North Sulawesi, Indonesia, serving as the administrative and political center of East Bolaang Mongondow Regency.
  • C. Tabiang
    Tabiang is a village on Abemama Atoll in the island nation of Kiribati in the central Pacific Ocean.
  • D. Talaytay
    Talaytay is a barangay (village-level administrative division) of the municipality of Argao in the province of Cebu, Philippines.
  • E. Tahkuna
    Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d867264819098ae35c9feab3bb4 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d450c8081908e44744a63e15fc3 completed May 14, 2026, 3:11 a.m.
NEDg Description generation batch_6a053e7376ec8190950881d90d9fa567 completed May 14, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a053ef3600881908e39a4abe4e032e8 completed May 14, 2026, 3:18 a.m.
Created at: April 10, 2026, 11:52 a.m.