Triple

T36586296
Position Surface form Disambiguated ID Type / Status
Subject Parola (Liloan lighthouse) E902528 entity
Predicate CebuanoName P185900 FINISHED
Object Parola sa Liloan
Parola sa Liloan is a historic coastal lighthouse in Liloan, Cebu, Philippines, serving as a navigational landmark and local heritage site.
 E2190388 NE FINISHED

How this triple was built (3 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: Parola sa Liloan | Statement: [Parola (Liloan lighthouse), CebuanoName, Parola sa Liloan]
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: Parola sa Liloan
Triple: [Parola (Liloan lighthouse), CebuanoName, Parola sa Liloan]
Generated description
Parola sa Liloan is a historic coastal lighthouse in Liloan, Cebu, Philippines, serving as a navigational landmark and local heritage site.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: CebuanoName
Context triple: [Parola (Liloan lighthouse), CebuanoName, Parola sa Liloan]
  • A. hasOfficialNameInFilipino
    Indicates that an entity has an official or formally recognized name expressed in the Filipino language.
  • B. hasNameInTagalog
    Indicates that an entity has a specific name expressed in the Tagalog language.
  • C. nameInPapiamento
    Indicates that an entity’s name is expressed in the Papiamento language.
  • D. hasNameInBalinese
    Indicates that an entity is associated with a specific name expressed in the Balinese language.
  • E. hasPalauanName
    Indicates that an entity has a name expressed in the Palauan language.
  • F. None of above. chosen

Provenance (7 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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f91a8e548190b1ea58306893bb88 completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39fab68cb88190a1fef8d641f7279f completed June 23, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a39fc5b6ebc8190b1c9fa24639d8403 completed June 23, 2026, 3:24 a.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:11 p.m.