Triple

T18768822
Position Surface form Disambiguated ID Type / Status
Subject Kalibo, Aklan E458959 entity
Predicate hasBarangays P13208 FINISHED
Object Poblacion Norte
Poblacion Norte is an urban barangay within the municipality of Kalibo in the province of Aklan, Philippines.
E1343626 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: Poblacion Norte | Statement: [Kalibo, Aklan, hasBarangays, Poblacion Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion Norte
Context triple: [Kalibo, Aklan, hasBarangays, Poblacion Norte]
  • A. Poblacion North
    Poblacion North is a barangay that forms part of the urban center of the municipality of Oton in the province of Iloilo, Philippines.
  • B. Poblacion
    Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and main commercial and administrative district of Kalibo in the province of Aklan, 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: Poblacion Norte
Triple: [Kalibo, Aklan, hasBarangays, Poblacion Norte]
Generated description
Poblacion Norte is an urban barangay within the municipality of Kalibo in the province of Aklan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poblacion Norte
Target entity description: Poblacion Norte is an urban barangay within the municipality of Kalibo in the province of Aklan, Philippines.
  • A. Poblacion North
    Poblacion North is a barangay that forms part of the urban center of the municipality of Oton in the province of Iloilo, Philippines.
  • B. Poblacion
    Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and administrative core of the municipality of Morong in the province of Bataan, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the 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_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_6a054710894c819097fc5cd9753a9c94 completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a054b1a8698819090e8594f00588703 completed May 14, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_6a054b881bd48190ab3ae42719357d7c completed May 14, 2026, 4:11 a.m.
Created at: April 10, 2026, 11:52 a.m.