Triple

T9745311
Position Surface form Disambiguated ID Type / Status
Subject Macajalar Bay E236290 entity
Predicate hasCoastalMunicipality P41457 FINISHED
Object Sugbongcogon
Sugbongcogon is a small coastal municipality in Misamis Oriental, Philippines, known for its seaside communities and access to Macajalar Bay.
E817875 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: Sugbongcogon | Statement: [Macajalar Bay, hasCoastalMunicipality, Sugbongcogon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugbongcogon
Context triple: [Macajalar Bay, hasCoastalMunicipality, Sugbongcogon]
  • A. Binongko
    Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
  • B. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • C. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • D. Saguling
    Saguling is a locality in West Java, Indonesia, best known for the Saguling Dam and its surrounding reservoir on the Citarum River.
  • E. Tabogon
    Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
  • 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: Sugbongcogon
Triple: [Macajalar Bay, hasCoastalMunicipality, Sugbongcogon]
Generated description
Sugbongcogon is a small coastal municipality in Misamis Oriental, Philippines, known for its seaside communities and access to Macajalar Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sugbongcogon
Target entity description: Sugbongcogon is a small coastal municipality in Misamis Oriental, Philippines, known for its seaside communities and access to Macajalar Bay.
  • A. Binongko
    Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
  • B. Sibunag
    Sibunag is a coastal municipality located on the island province of Guimaras in the Western Visayas region of the Philippines.
  • C. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • D. Saguling
    Saguling is a locality in West Java, Indonesia, best known for the Saguling Dam and its surrounding reservoir on the Citarum River.
  • E. Tabogon
    Tabogon is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural lands and scenic seaside areas.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2f8e648190ad94c940f9dc1de0 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b004a6e88190a974f4a8973f91ef completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b0f7a68481909de080dd78f883a8 completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b17bd97c8190b77815db5a6a70d9 completed April 5, 2026, 12:49 a.m.
Created at: March 30, 2026, 8:23 p.m.