Triple

T15251775
Position Surface form Disambiguated ID Type / Status
Subject Pangim E364533 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Campal
Campal is a prominent riverside neighborhood in Panaji, Goa, known for its tree-lined avenues, cultural institutions, and recreational spaces.
 E1146027 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: Campal | Statement: [Pangim, hasNeighbourhood, Campal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campal
Context triple: [Pangim, hasNeighbourhood, Campal]
  • A. Palena
    Palena is a small town and municipality in the Palena Province of Chile’s Los Lagos Region, known for its remote Andean landscapes and outdoor tourism.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Balambat
    Balambat is a town and administrative area in Pakistan’s Khyber Pakhtunkhwa province, situated within the mountainous region of Lower Dir.
  • D. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • E. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • 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: Campal
Triple: [Pangim, hasNeighbourhood, Campal]
Generated description
Campal is a prominent riverside neighborhood in Panaji, Goa, known for its tree-lined avenues, cultural institutions, and recreational spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campal
Target entity description: Campal is a prominent riverside neighborhood in Panaji, Goa, known for its tree-lined avenues, cultural institutions, and recreational spaces.
  • A. Palena
    Palena is a small town and municipality in the Palena Province of Chile’s Los Lagos Region, known for its remote Andean landscapes and outdoor tourism.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Balambat
    Balambat is a town and administrative area in Pakistan’s Khyber Pakhtunkhwa province, situated within the mountainous region of Lower Dir.
  • D. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • E. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f728648190b2c86e4528542b65 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f390bc8190bc0180c118e1523c completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee68055b88190afa0e3b1bc2b13bb completed May 9, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69fee7190a6c81908fa7376f3e3c5371 completed May 9, 2026, 7:49 a.m.
Created at: April 10, 2026, 3:13 a.m.