Triple

T3608823
Position Surface form Disambiguated ID Type / Status
Subject Coimbra District E76434 entity
Predicate containsMunicipality P852 FINISHED
Object Penela
Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
 E374183 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: Penela | Statement: [Coimbra District, containsMunicipality, Penela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penela
Context triple: [Coimbra District, containsMunicipality, Penela]
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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: Penela
Triple: [Coimbra District, containsMunicipality, Penela]
Generated description
Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Penela
Target entity description: Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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.