Triple

T5096397
Position Surface form Disambiguated ID Type / Status
Subject Boracay E114875 entity
Predicate hasBarangays P13208 FINISHED
Object Manoc-Manoc
Manoc-Manoc is a coastal barangay on the island of Boracay in the Philippines, known for its beaches, resorts, and tourism-related activities.
E494976 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: Manoc-Manoc | Statement: [Boracay, hasBarangays, Manoc-Manoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manoc-Manoc
Context triple: [Boracay, hasBarangays, Manoc-Manoc]
  • A. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • B. Manjaco
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • C. Mani
    Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • D. Mani
    Mani is the personification of the Moon in Norse mythology, counted among the Aesir gods.
  • E. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • 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: Manoc-Manoc
Triple: [Boracay, hasBarangays, Manoc-Manoc]
Generated description
Manoc-Manoc is a coastal barangay on the island of Boracay in the Philippines, known for its beaches, resorts, and tourism-related activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manoc-Manoc
Target entity description: Manoc-Manoc is a coastal barangay on the island of Boracay in the Philippines, known for its beaches, resorts, and tourism-related activities.
  • A. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • B. Manjaco
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • C. Mani
    Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • D. Mani
    Mani is the personification of the Moon in Norse mythology, counted among the Aesir gods.
  • E. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75652a8081908386718f1fdb1de3 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba80aee081908498cbe9d4f2eaa7 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebce93dc48190a43fca47cb5c0bcb completed March 21, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69bebe0086bc81908aa38f32952b8902 completed March 21, 2026, 3:49 p.m.
Created at: March 20, 2026, 1:40 p.m.