Triple

T15568491
Position Surface form Disambiguated ID Type / Status
Subject Alenquer E374177 entity
Predicate hasParishes P2739 FINISHED
Object Olhalvo
Olhalvo is a civil parish in the municipality of Alenquer, Portugal, known for its rural character and traditional Portuguese village atmosphere.
E1164872 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: Olhalvo | Statement: [Alenquer, hasParishes, Olhalvo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olhalvo
Context triple: [Alenquer, hasParishes, Olhalvo]
  • A. Olvan
    Olvan is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and historic Romanesque heritage.
  • B. Halvad
    Halvad is a town in the Morbi district of Gujarat, India, known for its local trade and regional connectivity.
  • C. Holovak
    Holovak is a surname most notably associated with Mike Holovak, an American football player, coach, and executive.
  • D. Ohlau
    Ohlau is a historic town in southwestern Poland (formerly in Germany) known today as Oława, located near Wrocław in Lower Silesia.
  • E. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • 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: Olhalvo
Triple: [Alenquer, hasParishes, Olhalvo]
Generated description
Olhalvo is a civil parish in the municipality of Alenquer, Portugal, known for its rural character and traditional Portuguese village atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olhalvo
Target entity description: Olhalvo is a civil parish in the municipality of Alenquer, Portugal, known for its rural character and traditional Portuguese village atmosphere.
  • A. Olvan
    Olvan is a small municipality in the Berguedà comarca of Catalonia, Spain, known for its rural landscape and historic Romanesque heritage.
  • B. Halvad
    Halvad is a town in the Morbi district of Gujarat, India, known for its local trade and regional connectivity.
  • C. Holovak
    Holovak is a surname most notably associated with Mike Holovak, an American football player, coach, and executive.
  • D. Ohlau
    Ohlau is a historic town in southwestern Poland (formerly in Germany) known today as Oława, located near Wrocław in Lower Silesia.
  • E. Loelva
    Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4f27c7b08190bbe2d64eef0610f8 completed May 9, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69ff4fc4223c8190a3dd7a6853258791 completed May 9, 2026, 3:16 p.m.
Created at: April 10, 2026, 4:10 a.m.