Triple

T15568253
Position Surface form Disambiguated ID Type / Status
Subject Sardoal E374171 entity
Predicate hasParish P35 FINISHED
Object Sardoal parish
Sardoal parish is a civil parish that serves as the main local administrative division within the municipality of Sardoal in central Portugal.
E1165594 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: Sardoal parish | Statement: [Sardoal, hasParish, Sardoal parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sardoal parish
Context triple: [Sardoal, hasParish, Sardoal parish]
  • A. Nõo Parish
    Nõo Parish is a rural municipality in southeastern Estonia known for its small communities, forests, and proximity to the city of Tartu.
  • B. Alvor parish
    Alvor parish is a coastal civil parish in Portugal’s Algarve region, known for its historic village, scenic estuary, and popular beaches.
  • C. Laihia parish
    Laihia parish is a Lutheran church parish serving the local community in the municipality of Laihia in western Finland.
  • D. Raasiku Parish
    Raasiku Parish is a rural municipality in northern Estonia, located in Harju County and known for its small settlements and proximity to Tallinn.
  • E. Kose Parish
    Kose Parish is a rural municipality in northern Estonia known for its small towns, forests, and agricultural landscapes within Harju 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: Sardoal parish
Triple: [Sardoal, hasParish, Sardoal parish]
Generated description
Sardoal parish is a civil parish that serves as the main local administrative division within the municipality of Sardoal in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sardoal parish
Target entity description: Sardoal parish is a civil parish that serves as the main local administrative division within the municipality of Sardoal in central Portugal.
  • A. Nõo Parish
    Nõo Parish is a rural municipality in southeastern Estonia known for its small communities, forests, and proximity to the city of Tartu.
  • B. Alvor parish
    Alvor parish is a coastal civil parish in Portugal’s Algarve region, known for its historic village, scenic estuary, and popular beaches.
  • C. Laihia parish
    Laihia parish is a Lutheran church parish serving the local community in the municipality of Laihia in western Finland.
  • D. Raasiku Parish
    Raasiku Parish is a rural municipality in northern Estonia, located in Harju County and known for its small settlements and proximity to Tallinn.
  • E. Kose Parish
    Kose Parish is a rural municipality in northern Estonia known for its small towns, forests, and agricultural landscapes within Harju 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_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_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.