Triple

T18768817
Position Surface form Disambiguated ID Type / Status
Subject Kalibo, Aklan E458959 entity
Predicate hasBarangays P13208 FINISHED
Object Nalook
Nalook is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
E1341476 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: Nalook | Statement: [Kalibo, Aklan, hasBarangays, Nalook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalook
Context triple: [Kalibo, Aklan, hasBarangays, Nalook]
  • A. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • B. Nalotu
    Nalotu is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • E. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • 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: Nalook
Triple: [Kalibo, Aklan, hasBarangays, Nalook]
Generated description
Nalook is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nalook
Target entity description: Nalook is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
  • A. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • B. Nalotu
    Nalotu is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian lifestyle and surrounding natural beauty.
  • C. Nokuku
    Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
  • D. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • E. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • 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.