Triple

T15228855
Position Surface form Disambiguated ID Type / Status
Subject Ternate E363945 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion I
Poblacion I is a central urban barangay in the municipality of Ternate in the province of Cavite, Philippines.
E1144815 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 I | Statement: [Ternate, hasBarangay, Poblacion I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion I
Context triple: [Ternate, hasBarangay, Poblacion I]
  • 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 core of the municipality of Morong in the province of Bataan, Philippines.
  • C. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, Philippines.
  • D. 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.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag 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 I
Triple: [Ternate, hasBarangay, Poblacion I]
Generated description
Poblacion I is a central urban barangay in the municipality of Ternate in the province of Cavite, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Poblacion I
Target entity description: Poblacion I is a central urban barangay in the municipality of Ternate in the province of Cavite, Philippines.
  • 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 core of the municipality of Morong in the province of Bataan, 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 hub of the municipality of Dumalag in the Philippines.
  • E. 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.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd39d42881908f2ad47613e23bfa completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf277f888190a7e218131740660d completed May 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69fedfa514808190b4a50e87833c5f69 completed May 9, 2026, 7:17 a.m.
Created at: April 10, 2026, 3:12 a.m.