Triple

T16340996
Position Surface form Disambiguated ID Type / Status
Subject San Jose, Negros Oriental E396802 entity
Predicate hasBarangay P29835 FINISHED
Object Calo
Calo is a rural barangay (village-level administrative division) of the municipality of San Jose in the province of Negros Oriental, Philippines.
 E1206644 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: Calo | Statement: [San Jose, Negros Oriental, hasBarangay, Calo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calo
Context triple: [San Jose, Negros Oriental, hasBarangay, Calo]
  • A. KALO
    KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • B. Calos
    Calos was the principal town and political center of the indigenous Calusa people in what is now southwestern Florida.
  • C. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • D. Calci
    Calci is a small Tuscan town near Pisa in central Italy, known for its historic Certosa di Calci (Carthusian monastery) and scenic setting at the foot of the Monti Pisani hills.
  • E. Lucala
    Lucala is a town and municipality located in Angola’s Cuanza Norte Province.
  • 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: Calo
Triple: [San Jose, Negros Oriental, hasBarangay, Calo]
Generated description
Calo is a rural barangay (village-level administrative division) of the municipality of San Jose in the province of Negros Oriental, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calo
Target entity description: Calo is a rural barangay (village-level administrative division) of the municipality of San Jose in the province of Negros Oriental, Philippines.
  • A. KALO
    KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • B. Calos
    Calos was the principal town and political center of the indigenous Calusa people in what is now southwestern Florida.
  • C. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • D. Calci
    Calci is a small Tuscan town near Pisa in central Italy, known for its historic Certosa di Calci (Carthusian monastery) and scenic setting at the foot of the Monti Pisani hills.
  • E. Lucala
    Lucala is a town and municipality located in Angola’s Cuanza Norte Province.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da09dcf48190b6fdd14b1812c56a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00261cf0648190b4dd5ff79de7e315 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026c9b5c481908f60d2ebfb3f71d7 completed May 10, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00273dd8fc8190b84b8a96442781ee completed May 10, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:07 a.m.