Triple

T11062139
Position Surface form Disambiguated ID Type / Status
Subject Badian E261532 entity
Predicate hasBarangay P29835 FINISHED
Object Basak
Basak is a barangay (village-level administrative division) within the municipality of Badian in the province of Cebu, Philippines.
 E902521 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: Basak | Statement: [Badian, hasBarangay, Basak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basak
Context triple: [Badian, hasBarangay, Basak]
  • 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. Başkale
    Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
  • C. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • D. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • E. Yağıbasan
    Yağıbasan was a prominent 12th-century ruler of the Danishmendid dynasty in Anatolia, known for his political influence and patronage of architecture and learning.
  • 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: Basak
Triple: [Badian, hasBarangay, Basak]
Generated description
Basak is a barangay (village-level administrative division) within the municipality of Badian in the province of Cebu, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Basak
Target entity description: Basak is a barangay (village-level administrative division) within the municipality of Badian in the province of Cebu, 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. Başkale
    Başkale is a district and town in eastern Turkey, situated in the mountainous region of Van Province near the Iranian border.
  • C. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • D. Bafra
    Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
  • E. Yağıbasan
    Yağıbasan was a prominent 12th-century ruler of the Danishmendid dynasty in Anatolia, known for his political influence and patronage of architecture and learning.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798eb838c819089a89c55209c0295 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c887d2148190b19c91b6eb548494 completed April 18, 2026, 6:08 p.m.
NEDg Description generation batch_69e3cadf271081908d2b794a4288892a completed April 18, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf08cf108190966b4abd0514a6ea completed April 18, 2026, 6:35 p.m.
Created at: April 8, 2026, 9:26 p.m.