Triple

T22934794
Position Surface form Disambiguated ID Type / Status
Subject Banaue E569551 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Banaue in the Philippines.
E1562413 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: [Banaue, hasBarangay, Poblacion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion
Context triple: [Banaue, 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 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 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 Argao in Cebu, 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: [Banaue, hasBarangay, Poblacion]
Generated description
Poblacion is the central urban barangay and administrative hub of the municipality of Banaue in the 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 Banaue in the Philippines.
  • A. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, 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 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc24ea8bc8190bb7cb6e9475d6641 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc3dea31c8190ab517e43c9061eec completed May 19, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.