Triple

T16388681
Position Surface form Disambiguated ID Type / Status
Subject Rajah Humabon E397990 entity
Predicate residence P75 FINISHED
Object Sugbu
Sugbu is the pre-colonial name for the area that became Cebu City in the Philippines, a major coastal settlement and trading center in the Visayas.
 E1212457 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: Sugbu | Statement: [Rajah Humabon, residence, Sugbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sugbu
Context triple: [Rajah Humabon, residence, Sugbu]
  • A. Karagawan
    Karagawan is a regional dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
  • B. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • C. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • D. Nasugbu
    Nasugbu is a coastal municipality in the province of Batangas, Philippines, known for its beaches, resorts, and agricultural areas.
  • E. Tagoloan
    Tagoloan is a coastal municipality in Misamis Oriental, Philippines, known for its strategic location near Cagayan de Oro and its growing industrial and port activities.
  • 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: Sugbu
Triple: [Rajah Humabon, residence, Sugbu]
Generated description
Sugbu is the pre-colonial name for the area that became Cebu City in the Philippines, a major coastal settlement and trading center in the Visayas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sugbu
Target entity description: Sugbu is the pre-colonial name for the area that became Cebu City in the Philippines, a major coastal settlement and trading center in the Visayas.
  • A. Karagawan
    Karagawan is a regional dialect of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines.
  • B. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • C. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • D. Nasugbu
    Nasugbu is a coastal municipality in the province of Batangas, Philippines, known for its beaches, resorts, and agricultural areas.
  • E. Tagoloan
    Tagoloan is a coastal municipality in Misamis Oriental, Philippines, known for its strategic location near Cagayan de Oro and its growing industrial and port activities.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263f18988190800b921381d60c1b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c58280081908e4d73a75b09dbb8 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a0040d71e2c819084c106114e9c0de4 completed May 10, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0041cec01881909400e8c3874413e7 completed May 10, 2026, 8:29 a.m.
Created at: April 10, 2026, 5:08 a.m.