Triple

T21630708
Position Surface form Disambiguated ID Type / Status
Subject Balagtas, Bulacan E533820 entity
Predicate hasBarangay P29835 FINISHED
Object Poblacion
Poblacion is the central urban barangay and traditional town center of Balagtas in the province of Bulacan, Philippines.
E1493559 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: [Balagtas, Bulacan, hasBarangay, Poblacion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poblacion
Context triple: [Balagtas, Bulacan, hasBarangay, Poblacion]
  • 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 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 main commercial and administrative district of Kalibo in the province of Aklan, Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, 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: [Balagtas, Bulacan, hasBarangay, Poblacion]
Generated description
Poblacion is the central urban barangay and traditional town center of Balagtas in the province of Bulacan, 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 traditional town center of Balagtas in the province of Bulacan, Philippines.
  • 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 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 Dumalag in the Philippines.
  • E. Poblacion
    Poblacion is the central urban barangay and administrative hub of the municipality of Panglao in Bohol, 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f97ba188190b00ddfbbeee22499 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a1020e67c8190a6faf7e8e458d48e completed May 17, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10ac13288190a1fbf21fa67a4ed2 completed May 17, 2026, 7:02 p.m.
Created at: April 16, 2026, 6:34 p.m.