Triple

T8309718
Position Surface form Disambiguated ID Type / Status
Subject Sumapaz Province E194559 entity
Predicate contains P35 FINISHED
Object Pandi
Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
 E725062 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: Pandi | Statement: [Sumapaz Province, contains, Pandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pandi
Context triple: [Sumapaz Province, contains, Pandi]
  • A. Pandi
    Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
  • B. Pande
    Pande is a surname commonly found in South Asia, particularly among Hindu communities in India and Nepal.
  • C. Penda
    Penda was a 7th-century pagan king of Mercia in Anglo-Saxon England, known for his military prowess and opposition to the spread of Christianity.
  • D. Pujali
    Pujali is a small town and municipality in the Indian state of West Bengal, situated near Kolkata along the Hooghly River.
  • E. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • 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: Pandi
Triple: [Sumapaz Province, contains, Pandi]
Generated description
Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pandi
Target entity description: Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
  • A. Pandi
    Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
  • B. Pande
    Pande is a surname commonly found in South Asia, particularly among Hindu communities in India and Nepal.
  • C. Penda
    Penda was a 7th-century pagan king of Mercia in Anglo-Saxon England, known for his military prowess and opposition to the spread of Christianity.
  • D. Pujali
    Pujali is a small town and municipality in the Indian state of West Bengal, situated near Kolkata along the Hooghly River.
  • E. Pang
    Pang is a variant transliteration of the Chinese surname commonly romanized as Peng.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cda62070888190b55b3f54d29e28e7 completed April 1, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69cdb21a65d88190a19dd41f95d173c8 completed April 2, 2026, 12:02 a.m.
Created at: March 30, 2026, 5:54 p.m.