Triple

T5218344
Position Surface form Disambiguated ID Type / Status
Subject Siargao Island E117807 entity
Predicate hasTown P847 FINISHED
Object General Luna
General Luna is a popular coastal town on Siargao Island in the Philippines, known for its world-class surfing spots, especially Cloud 9, and its vibrant beach tourism scene.
E502810 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: General Luna | Statement: [Siargao Island, hasTown, General Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Luna
Context triple: [Siargao Island, hasTown, General Luna]
  • A. Consuela
    Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Morena
    Morena is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center in the Chambal region.
  • D. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • E. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • 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: General Luna
Triple: [Siargao Island, hasTown, General Luna]
Generated description
General Luna is a popular coastal town on Siargao Island in the Philippines, known for its world-class surfing spots, especially Cloud 9, and its vibrant beach tourism scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: General Luna
Target entity description: General Luna is a popular coastal town on Siargao Island in the Philippines, known for its world-class surfing spots, especially Cloud 9, and its vibrant beach tourism scene.
  • A. Consuela
    Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Morena
    Morena is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center in the Chambal region.
  • D. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • E. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.