Triple

T18925814
Position Surface form Disambiguated ID Type / Status
Subject Mafra E462967 entity
Predicate hasCivilParish P2739 FINISHED
Object Milharado
Milharado is a civil parish in the municipality of Mafra, located in the Lisbon District of Portugal.
E1349212 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: Milharado | Statement: [Mafra, hasCivilParish, Milharado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milharado
Context triple: [Mafra, hasCivilParish, Milharado]
  • A. Milhazes
    Milhazes is the surname of Brazilian contemporary artist Beatriz Milhazes, known for her vibrant, ornamental abstract paintings.
  • B. Mazaces
    Mazaces was a late Achaemenid Persian official who briefly governed Egypt as satrap during the empire’s final years before Alexander the Great’s conquest.
  • C. Cademario
    Cademario is a small Swiss municipality in the canton of Ticino, known for its hillside location above Lake Lugano and its spa and wellness tourism.
  • D. Marquitos
    Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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: Milharado
Triple: [Mafra, hasCivilParish, Milharado]
Generated description
Milharado is a civil parish in the municipality of Mafra, located in the Lisbon District of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Milharado
Target entity description: Milharado is a civil parish in the municipality of Mafra, located in the Lisbon District of Portugal.
  • A. Milhazes
    Milhazes is the surname of Brazilian contemporary artist Beatriz Milhazes, known for her vibrant, ornamental abstract paintings.
  • B. Mazaces
    Mazaces was a late Achaemenid Persian official who briefly governed Egypt as satrap during the empire’s final years before Alexander the Great’s conquest.
  • C. Cademario
    Cademario is a small Swiss municipality in the canton of Ticino, known for its hillside location above Lake Lugano and its spa and wellness tourism.
  • D. Marquitos
    Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b94e008190a0e9a70aaf6d18ed completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05911b50a881909c3bf87dfedf99aa completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0592ab1f948190b9e08fa514275fda completed May 14, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05930752c88190a07218a8af7c79ea completed May 14, 2026, 9:16 a.m.
Created at: April 10, 2026, 11:59 a.m.