Triple

T11021950
Position Surface form Disambiguated ID Type / Status
Subject Cavite City E260510 entity
Predicate hasLandmark P105 FINISHED
Object Cavite City Hall
Cavite City Hall is the main government building and administrative center of Cavite City in the Philippines.
 E900346 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: Cavite City Hall | Statement: [Cavite City, hasLandmark, Cavite City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cavite City Hall
Context triple: [Cavite City, hasLandmark, Cavite City Hall]
  • A. Caloocan City Hall
    Caloocan City Hall is the main government building and administrative center of Caloocan, a highly urbanized city in Metro Manila, Philippines.
  • B. Quezon City Hall
    Quezon City Hall is the main government complex and administrative center of Quezon City in Metro Manila, Philippines.
  • C. Calamba City Hall
    Calamba City Hall is the main government building and administrative center of Calamba City in Laguna, Philippines.
  • D. Pasig City Hall
    Pasig City Hall is the main government building and administrative center of Pasig City in Metro Manila, Philippines.
  • E. Barangay Kapitolyo
    Barangay Kapitolyo is a popular mixed-use neighborhood in Pasig City, Metro Manila, known for its residential areas, food hubs, and proximity to major commercial districts.
  • 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: Cavite City Hall
Triple: [Cavite City, hasLandmark, Cavite City Hall]
Generated description
Cavite City Hall is the main government building and administrative center of Cavite City in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cavite City Hall
Target entity description: Cavite City Hall is the main government building and administrative center of Cavite City in the Philippines.
  • A. Caloocan City Hall
    Caloocan City Hall is the main government building and administrative center of Caloocan, a highly urbanized city in Metro Manila, Philippines.
  • B. Quezon City Hall
    Quezon City Hall is the main government complex and administrative center of Quezon City in Metro Manila, Philippines.
  • C. Calamba City Hall
    Calamba City Hall is the main government building and administrative center of Calamba City in Laguna, Philippines.
  • D. Pasig City Hall
    Pasig City Hall is the main government building and administrative center of Pasig City in Metro Manila, Philippines.
  • E. Barangay Kapitolyo
    Barangay Kapitolyo is a popular mixed-use neighborhood in Pasig City, Metro Manila, known for its residential areas, food hubs, and proximity to major commercial districts.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bb6eec81909d8004af31f307f7 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374f64b3c8190b0b55193f81d3bc5 completed April 18, 2026, 12:11 p.m.
NEDg Description generation batch_69e37ab860f48190808ba0076cfa9c98 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e3864dd0d48190b3fd81381f5d7418 completed April 18, 2026, 1:25 p.m.
Created at: April 8, 2026, 9:25 p.m.