Triple

T20025529
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate hasMunicipality P847 FINISHED
Object Hilongos
Hilongos is a coastal municipality in the province of Leyte in the Philippines, known as a local commercial and transport hub facing the Camotes Sea.
 E1431205 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: Hilongos | Statement: [Province of Leyte, hasMunicipality, Hilongos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hilongos
Context triple: [Province of Leyte, hasMunicipality, Hilongos]
  • A. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • B. Claveria
    Claveria is a coastal municipality in the Philippines known for its location along Macajalar Bay in Northern Mindanao.
  • C. Claveria
    Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
  • D. Claveria
    Claveria is a coastal municipality in the province of Cagayan in the Philippines, known for its scenic beaches and fishing communities along the Luzon Strait.
  • E. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • 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: Hilongos
Triple: [Province of Leyte, hasMunicipality, Hilongos]
Generated description
Hilongos is a coastal municipality in the province of Leyte in the Philippines, known as a local commercial and transport hub facing the Camotes Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hilongos
Target entity description: Hilongos is a coastal municipality in the province of Leyte in the Philippines, known as a local commercial and transport hub facing the Camotes Sea.
  • A. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • B. Claveria
    Claveria is a coastal municipality in the Philippines known for its location along Macajalar Bay in Northern Mindanao.
  • C. Claveria
    Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
  • D. Claveria
    Claveria is a coastal municipality in the province of Cagayan in the Philippines, known for its scenic beaches and fishing communities along the Luzon Strait.
  • E. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883e065748190b2a34d8e4cc0d5d5 completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08858befec819097cbe432a8b41b1b completed May 16, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0886140858819088f0b09a9903dada completed May 16, 2026, 2:58 p.m.
Created at: April 11, 2026, 3:35 p.m.