Triple

T15722705
Position Surface form Disambiguated ID Type / Status
Subject Sagay E381139 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion I
Poblacion I is an urban barangay that forms part of the city of Sagay in the Philippines.
 E1173264 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: [Sagay, hasBarangay, Poblacion I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Poblacion I
Context triple: [Sagay, hasBarangay, Poblacion I]
  • A. Poblacion I
    Poblacion I is a central urban barangay in the municipality of Ternate in the province of Cavite, 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 core of the municipality of Morong in the province of Bataan, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, 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
  • 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: [Sagay, hasBarangay, Poblacion I]
Generated description
Poblacion I is an urban barangay that forms part of the city of Sagay in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Poblacion I
Target entity description: Poblacion I is an urban barangay that forms part of the city of Sagay in the Philippines.
  • A. Poblacion I
    Poblacion I is a central urban barangay in the municipality of Ternate in the province of Cavite, 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 core of the municipality of Morong in the province of Bataan, Philippines.
  • D. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f68bf881909e5ad8a6ab81684a completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:45 a.m.