Triple

T3608765
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Chamusca
Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
E374174 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: Chamusca | Statement: [Centro Region, containsCity, Chamusca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamusca
Context triple: [Centro Region, containsCity, Chamusca]
  • A. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • B. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • C. Vinantes
    Vinantes is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • D. La Colmiane
    La Colmiane is a family-friendly ski resort in the French Alps known for its varied slopes, year-round mountain activities, and proximity to Nice in the Alpes-Maritimes department.
  • E. Alcochete
    Alcochete is a town in Portugal, near Lisbon on the south bank of the Tagus River, known historically as the birthplace of King Manuel I and for its traditional fishing and salt industries.
  • 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: Chamusca
Triple: [Centro Region, containsCity, Chamusca]
Generated description
Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chamusca
Target entity description: Chamusca is a small municipality in central Portugal known for its agricultural landscape and location along the Tagus River.
  • A. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • B. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • C. Vinantes
    Vinantes is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • D. La Colmiane
    La Colmiane is a family-friendly ski resort in the French Alps known for its varied slopes, year-round mountain activities, and proximity to Nice in the Alpes-Maritimes department.
  • E. Alcochete
    Alcochete is a town in Portugal, near Lisbon on the south bank of the Tagus River, known historically as the birthplace of King Manuel I and for its traditional fishing and salt industries.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.