Triple

T19825833
Position Surface form Disambiguated ID Type / Status
Subject Panglao E476322 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, Philippines.
E1397296 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 | Statement: [Panglao, hasBarangay, Poblacion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion
Context triple: [Panglao, hasBarangay, Poblacion]
  • A. Poblacion
    Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
  • B. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and main commercial and administrative district of Kalibo in the province of Aklan, Philippines.
  • E. Poblacion
    Poblacion is the central barangay and administrative hub of the municipality of Itogon in the 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
Triple: [Panglao, hasBarangay, Poblacion]
Generated description
Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poblacion
Target entity description: Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, Philippines.
  • A. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, Philippines.
  • B. Poblacion
    Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and main commercial and administrative district of Kalibo in the province of Aklan, Philippines.
  • E. Poblacion
    Poblacion is the central barangay and administrative hub of the municipality of Itogon 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656c9e7348190a569a40bd1fca6ba completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd3f4308190879396a336026a83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cf6713108190a887b91e26da1ca5 completed May 16, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a07d008357081908bff9ebfbda41ba1 completed May 16, 2026, 2:01 a.m.
Created at: April 10, 2026, 1:50 p.m.