Triple

T22748073
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Daanbantayan E562608 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Daanbantayan in Cebu, Philippines.
E906336 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: [Municipality of Daanbantayan, hasBarangay, Poblacion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion
Context triple: [Municipality of Daanbantayan, hasBarangay, Poblacion]
  • A. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, Philippines.
  • B. Poblacion
    Poblacion is a historic and nightlife-centric urban barangay in Makati, Metro Manila, known for its mix of old residential areas, bars, restaurants, and cultural spots.
  • 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 town center of Baler in Aurora province, 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
Triple: [Municipality of Daanbantayan, hasBarangay, Poblacion]
Generated description
Poblacion is the central urban barangay and administrative hub of the municipality of Daanbantayan in Cebu, 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 Daanbantayan in Cebu, Philippines.
  • A. Poblacion chosen
    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 Panglao in Bohol, Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and administrative core of the municipality of Morong in the province of Bataan, Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
  • F. None of above.

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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b702388190b134dde5f80ea3cd completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd5c05c819091c2871dc9e4e9ca completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b90addad481909a69601ed3d50622 completed May 18, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9118ebd48190adf5e7fd47408dc7 completed May 18, 2026, 10:22 p.m.
Created at: April 17, 2026, 3:24 p.m.