Triple

T13980433
Position Surface form Disambiguated ID Type / Status
Subject Romblomanon E336293 entity
Predicate hasAlternativeName P39 FINISHED
Object Basiaya
Basiaya is an alternative name for the Romblomanon language spoken in the Romblon province of the Philippines.
 E1072341 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: Basiaya | Statement: [Romblomanon, hasAlternativeName, Basiaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basiaya
Context triple: [Romblomanon, hasAlternativeName, Basiaya]
  • A. Baysan
    Baysan is the ancient name of the city now known as Beit She'an, a historically significant settlement in northern Israel with roots dating back to antiquity.
  • B. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • C. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • D. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • E. Ayubia
    Ayubia is a popular hill resort and national park area in Pakistan’s Galyat region, known for its cool climate, pine forests, and scenic chairlift.
  • 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: Basiaya
Triple: [Romblomanon, hasAlternativeName, Basiaya]
Generated description
Basiaya is an alternative name for the Romblomanon language spoken in the Romblon province of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Basiaya
Target entity description: Basiaya is an alternative name for the Romblomanon language spoken in the Romblon province of the Philippines.
  • A. Baysan
    Baysan is the ancient name of the city now known as Beit She'an, a historically significant settlement in northern Israel with roots dating back to antiquity.
  • B. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • C. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • D. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • E. Ayubia
    Ayubia is a popular hill resort and national park area in Pakistan’s Galyat region, known for its cool climate, pine forests, and scenic chairlift.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba785e17c819081d09f7891914665 completed May 6, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69fba82ca04c8190863932895fa8212a completed May 6, 2026, 8:44 p.m.
Created at: April 9, 2026, 10:18 p.m.