Triple

T12386833
Position Surface form Disambiguated ID Type / Status
Subject Maitum E295887 entity
Predicate hasBarangay P29835 FINISHED
Object Kalaneg
Kalaneg is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
 E979441 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: Kalaneg | Statement: [Maitum, hasBarangay, Kalaneg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kalaneg
Context triple: [Maitum, hasBarangay, Kalaneg]
  • A. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • B. Yenikale
    Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
  • C. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • D. Kaei
    Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
  • E. Kaei
    Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • 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: Kalaneg
Triple: [Maitum, hasBarangay, Kalaneg]
Generated description
Kalaneg is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kalaneg
Target entity description: Kalaneg is a barangay (village-level administrative division) located in the municipality of Maitum in the Philippines.
  • A. Kandau
    Kandau is a town in present-day Latvia historically known as the birthplace of the German experimental psychologist Oswald Külpe.
  • B. Yenikale
    Yenikale is a coastal area near Kerch on the Crimean Peninsula, notable as a World War II amphibious landing site during Soviet operations against German forces.
  • C. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • D. Kaei
    Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
  • E. Kaei
    Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • 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.