Triple

T13207024
Position Surface form Disambiguated ID Type / Status
Subject Camotes Islands E314390 entity
Predicate hasIsland P970 FINISHED
Object Tulang Diot
Tulang Diot is a small, sparsely populated island off the coast of San Francisco in the Camotes Sea, known for its quiet beaches and rustic, undeveloped charm.
E1027386 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: Tulang Diot | Statement: [Camotes Islands, hasIsland, Tulang Diot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulang Diot
Context triple: [Camotes Islands, hasIsland, Tulang Diot]
  • A. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • B. Tangalan
    Tangalan is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, marine sanctuaries, and natural attractions.
  • C. Maguling
    Maguling is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • D. Polomolok
    Polomolok is an agricultural municipality in the Philippines known for its large pineapple plantations and proximity to Mount Matutum.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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: Tulang Diot
Triple: [Camotes Islands, hasIsland, Tulang Diot]
Generated description
Tulang Diot is a small, sparsely populated island off the coast of San Francisco in the Camotes Sea, known for its quiet beaches and rustic, undeveloped charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tulang Diot
Target entity description: Tulang Diot is a small, sparsely populated island off the coast of San Francisco in the Camotes Sea, known for its quiet beaches and rustic, undeveloped charm.
  • A. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • B. Tangalan
    Tangalan is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, marine sanctuaries, and natural attractions.
  • C. Maguling
    Maguling is a barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • D. Polomolok
    Polomolok is an agricultural municipality in the Philippines known for its large pineapple plantations and proximity to Mount Matutum.
  • E. Guanito
    Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f79703588190ba088971da54340f completed May 3, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:17 p.m.