Triple

T12724328
Position Surface form Disambiguated ID Type / Status
Subject Mountain Province E304064 entity
Predicate hasMajorTown P316 FINISHED
Object Barlig
Barlig is a remote, mountainous municipality in the Philippines known for its rice terraces, rich indigenous culture, and cool highland climate.
 E1000982 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: Barlig | Statement: [Mountain Province, hasMajorTown, Barlig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barlig
Context triple: [Mountain Province, hasMajorTown, Barlig]
  • A. Blagar
    Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
  • B. Baraolt
    Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
  • C. Ballangen
    Ballangen is a former mining-oriented village and municipality in Nordland county in northern Norway, situated along the Ofotfjord.
  • D. Borchali
    Borchali is a historically Azerbaijani-populated region in southern Georgia that has been a focal point of ethnic and territorial tensions between Georgia and Azerbaijan.
  • E. Byllynge
    Byllynge is an English surname most notably associated with Edward Byllynge, a 17th-century colonial proprietor involved in the early governance of New Jersey.
  • 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: Barlig
Triple: [Mountain Province, hasMajorTown, Barlig]
Generated description
Barlig is a remote, mountainous municipality in the Philippines known for its rice terraces, rich indigenous culture, and cool highland climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barlig
Target entity description: Barlig is a remote, mountainous municipality in the Philippines known for its rice terraces, rich indigenous culture, and cool highland climate.
  • A. Blagar
    Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
  • B. Baraolt
    Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
  • C. Ballangen
    Ballangen is a former mining-oriented village and municipality in Nordland county in northern Norway, situated along the Ofotfjord.
  • D. Borchali
    Borchali is a historically Azerbaijani-populated region in southern Georgia that has been a focal point of ethnic and territorial tensions between Georgia and Azerbaijan.
  • E. Byllynge
    Byllynge is an English surname most notably associated with Edward Byllynge, a 17th-century colonial proprietor involved in the early governance of New Jersey.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:25 p.m.