Triple

T15028894
Position Surface form Disambiguated ID Type / Status
Subject Alcanena E378288 entity
Predicate hasParish P35 FINISHED
Object Minde
Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
 E1133964 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: Minde | Statement: [Alcanena, hasParish, Minde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minde
Context triple: [Alcanena, hasParish, Minde]
  • A. Minden
    Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
  • B. Minden
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • C. Minden
    Minden is a small rural town located within the Somerset Region of Queensland, Australia.
  • D. Minnagara
    Minnagara was an ancient South Asian city that served as a major political and commercial center under the Indo-Scythian rulers.
  • E. Minnet
    "Minnet" is a poignant musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional reflection on memory and longing.
  • 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: Minde
Triple: [Alcanena, hasParish, Minde]
Generated description
Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Minde
Target entity description: Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
  • A. Minden
    Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
  • B. Minden
    Minden is a small rural town located within the Somerset Region of Queensland, Australia.
  • C. Minden
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • D. Minnagara
    Minnagara was an ancient South Asian city that served as a major political and commercial center under the Indo-Scythian rulers.
  • E. Minnet
    "Minnet" is a poignant musical number from the Swedish musical "Kristina från Duvemåla," known for its emotional reflection on memory and longing.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd967588190821cf47e9734db21 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9e5dbbe0819084567688758b0245 completed May 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69fe9eedca1481908ce438991184d62e completed May 9, 2026, 2:41 a.m.
Created at: April 10, 2026, 2:58 a.m.