Triple

T16360826
Position Surface form Disambiguated ID Type / Status
Subject Paombong E397304 entity
Predicate hasBarangay P29835 FINISHED
Object San Miguel (Poblacion)
San Miguel (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in the Philippines.
 E1208926 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: San Miguel (Poblacion) | Statement: [Paombong, hasBarangay, San Miguel (Poblacion)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Miguel (Poblacion)
Context triple: [Paombong, hasBarangay, San Miguel (Poblacion)]
  • A. Poblacion
    Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
  • B. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
  • C. 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.
  • D. Poblacion
    Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative core of the municipality of Morong in the province of Bataan, 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: San Miguel (Poblacion)
Triple: [Paombong, hasBarangay, San Miguel (Poblacion)]
Generated description
San Miguel (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Miguel (Poblacion)
Target entity description: San Miguel (Poblacion) is the central urban barangay and administrative core of the municipality of Paombong in the Philippines.
  • A. Poblacion
    Poblacion is the central urban barangay and main town center of Baler in Aurora province, 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 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

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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f8278e48190a1eb1e11616f6cc5 completed May 10, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002fe676688190b53cb938d7de78c0 completed May 10, 2026, 7:12 a.m.
Created at: April 10, 2026, 5:08 a.m.