Triple

T9964311
Position Surface form Disambiguated ID Type / Status
Subject Serpa E195642 entity
Predicate hasParish P35 FINISHED
Object Pias
Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
 E833465 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: Pias | Statement: [Serpa, hasParish, Pias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pias
Context triple: [Serpa, hasParish, Pias]
  • A. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • B. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • C. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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: Pias
Triple: [Serpa, hasParish, Pias]
Generated description
Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pias
Target entity description: Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
  • A. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • B. Piro
    Piro is an alternate name for the Yine language, an indigenous Arawakan language spoken in Peru.
  • C. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • D. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71a33b48190a18c1a9023f249d2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257b35aa48190991b0988ccb9cd2f completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d25889b0f08190a28c5401417fe3cc completed April 5, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69d25977ab988190969ed8ff8eb53ddd completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:47 p.m.