Triple

T14584364
Position Surface form Disambiguated ID Type / Status
Subject Catanduanes E342274 entity
Predicate hasMunicipality P847 FINISHED
Object Baras
Baras is a coastal municipality located on the island province of Catanduanes in the Philippines, known for its rural communities and Pacific shoreline.
E1108219 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: Baras | Statement: [Catanduanes, hasMunicipality, Baras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baras
Context triple: [Catanduanes, hasMunicipality, Baras]
  • A. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • B. Bara
    Bara is a town in central Sudan known as an agricultural and trading center in North Kordofan State.
  • C. Basarke
    Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
  • D. Bazarak
    Bazarak is a small town in northeastern Afghanistan that serves as the administrative and political center of the strategically significant Panjshir region.
  • E. Baraut
    Baraut is a prominent town in Uttar Pradesh, India, known as a key commercial and administrative center in the Baghpat district.
  • 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: Baras
Triple: [Catanduanes, hasMunicipality, Baras]
Generated description
Baras is a coastal municipality located on the island province of Catanduanes in the Philippines, known for its rural communities and Pacific shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baras
Target entity description: Baras is a coastal municipality located on the island province of Catanduanes in the Philippines, known for its rural communities and Pacific shoreline.
  • A. Bara
    Bara is a town in central Sudan known as an agricultural and trading center in North Kordofan State.
  • B. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • C. Basarke
    Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
  • D. Bazarak
    Bazarak is a small town in northeastern Afghanistan that serves as the administrative and political center of the strategically significant Panjshir region.
  • E. Baraut
    Baraut is a prominent town in Uttar Pradesh, India, known as a key commercial and administrative center in the Baghpat district.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bbe6208190af9cd131c147e321 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd984e0e6c819089d967234c5245ee completed May 8, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69fd98cf0bcc81909dac826a32daaf04 completed May 8, 2026, 8:03 a.m.
Created at: April 10, 2026, 1:24 a.m.