Triple

T11741169
Position Surface form Disambiguated ID Type / Status
Subject Dumalag E279156 entity
Predicate hasBarangay P29835 FINISHED
Object Maray-maray
Maray-maray is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
E944416 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: Maray-maray | Statement: [Dumalag, hasBarangay, Maray-maray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maray-maray
Context triple: [Dumalag, hasBarangay, Maray-maray]
  • A. Mambajao
    Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
  • B. Maay Maay
    Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
  • C. Itawit-Tawit
    Itawit-Tawit is an Austronesian language spoken by the Itawit people of northern Luzon in the Philippines.
  • D. Maripipi
    Maripipi is a small island municipality in the province of Biliran in the Eastern Visayas region of the Philippines, known for its coastal communities and scenic marine environment.
  • E. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • 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: Maray-maray
Triple: [Dumalag, hasBarangay, Maray-maray]
Generated description
Maray-maray is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maray-maray
Target entity description: Maray-maray is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
  • A. Mambajao
    Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
  • B. Maay Maay
    Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
  • C. Itawit-Tawit
    Itawit-Tawit is an Austronesian language spoken by the Itawit people of northern Luzon in the Philippines.
  • D. Maripipi
    Maripipi is a small island municipality in the province of Biliran in the Eastern Visayas region of the Philippines, known for its coastal communities and scenic marine environment.
  • E. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019d331888190866bdd04f6c73e08 completed April 28, 2026, 2:22 a.m.
NEDg Description generation batch_69f0319520dc8190817c5e75ddb7d40b completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.