Triple

T12386840
Position Surface form Disambiguated ID Type / Status
Subject Maitum E295887 entity
Predicate hasBarangay P29835 FINISHED
Object Kisulan
Kisulan is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
 E979446 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: Kisulan | Statement: [Maitum, hasBarangay, Kisulan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kisulan
Context triple: [Maitum, hasBarangay, Kisulan]
  • A. Kulon
    Kulon is an extinct Papuan language once spoken in the interior of West Papua, Indonesia.
  • B. Kisukuma
    Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
  • C. Kiwai
    Kiwai is a scenic village in Pakistan’s Kaghan Valley, known as a gateway to the Shogran and Siri Paye meadows.
  • D. Kolis
    The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine regions.
  • E. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • 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: Kisulan
Triple: [Maitum, hasBarangay, Kisulan]
Generated description
Kisulan is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kisulan
Target entity description: Kisulan is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
  • A. Kulon
    Kulon is an extinct Papuan language once spoken in the interior of West Papua, Indonesia.
  • B. Kisukuma
    Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
  • C. Kiwai
    Kiwai is a scenic village in Pakistan’s Kaghan Valley, known as a gateway to the Shogran and Siri Paye meadows.
  • D. Kolis
    The Kolis are a prominent fishing and agrarian community of western India, particularly associated with coastal and riverine regions.
  • E. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c7b28588190839c35c19856d16f completed May 2, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69f62e403a308190a2bba3fefc420932 completed May 2, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:54 p.m.