Triple

T11291485
Position Surface form Disambiguated ID Type / Status
Subject Masbate E267334 entity
Predicate hasMunicipality P847 FINISHED
Object Aroroy
Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
 E917633 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: Aroroy | Statement: [Masbate, hasMunicipality, Aroroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aroroy
Context triple: [Masbate, hasMunicipality, Aroroy]
  • A. Aror
    Aror was an ancient city in Sindh, in present-day Pakistan, historically significant as a major political and cultural center of the region.
  • B. Arpora
    Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
  • C. Arosi
    Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
  • D. Aroab
    Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
  • E. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • 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: Aroroy
Triple: [Masbate, hasMunicipality, Aroroy]
Generated description
Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aroroy
Target entity description: Aroroy is a coastal municipality in the province of Masbate in the Philippines, known historically for its gold mining and fishing industries.
  • A. Aror
    Aror was an ancient city in Sindh, in present-day Pakistan, historically significant as a major political and cultural center of the region.
  • B. Arpora
    Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
  • C. Arosi
    Arosi is an Oceanic Austronesian language spoken primarily on Makira Island in the Solomon Islands.
  • D. Aroab
    Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
  • E. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a246a3c81909f4f1d32a1b1efeb completed April 19, 2026, 5 p.m.
NEDg Description generation batch_69e510f7bec08190989118b6e4a7fa49 completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516ac8dec81909c9c1eece372189e completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:32 p.m.