Triple

T2375897
Position Surface form Disambiguated ID Type / Status
Subject Cebu E46197 entity
Predicate hasPart P35 FINISHED
Object Ginatilan
Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
E261537 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: Ginatilan | Statement: [Cebu, hasPart, Ginatilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginatilan
Context triple: [Cebu, hasPart, Ginatilan]
  • A. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • B. Timugan
    Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
  • C. Dapitan
    Dapitan is a historic coastal city in the Zamboanga Peninsula of the Philippines, best known as the place of exile of national hero José Rizal.
  • D. Aguiguan
    Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
  • E. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • 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: Ginatilan
Triple: [Cebu, hasPart, Ginatilan]
Generated description
Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ginatilan
Target entity description: Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
  • A. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • B. Timugan
    Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
  • C. Dapitan
    Dapitan is a historic coastal city in the Zamboanga Peninsula of the Philippines, best known as the place of exile of national hero José Rizal.
  • D. Aguiguan
    Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
  • E. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc794eee481908163148e1e666d9b completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8ac3e80819099065f874f9dc25d completed March 9, 2026, 11:02 a.m.
NEDg Description generation batch_69aeabd9a5a08190a2c6699576e36c46 completed March 9, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69aead3299c88190af03577eef126387 completed March 9, 2026, 11:21 a.m.
Created at: March 4, 2026, 7:57 p.m.