Triple

T4582021
Position Surface form Disambiguated ID Type / Status
Subject Amhara E101876 entity
Predicate associatedRegion P285 FINISHED
Object Wollo
Wollo is a historic region in northern Ethiopia known for its cultural diversity, Islamic and Christian heritage, and significant role in the history of the Amhara people.
E455093 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: Wollo | Statement: [Amhara, associatedRegion, Wollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wollo
Context triple: [Amhara, associatedRegion, Wollo]
  • A. Adowa
    Adowa is a traditional Akan dance from Ghana, often performed at social and ceremonial occasions with expressive movements and drum-based music.
  • B. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • C. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • D. Panay
    Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
  • E. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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: Wollo
Triple: [Amhara, associatedRegion, Wollo]
Generated description
Wollo is a historic region in northern Ethiopia known for its cultural diversity, Islamic and Christian heritage, and significant role in the history of the Amhara people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wollo
Target entity description: Wollo is a historic region in northern Ethiopia known for its cultural diversity, Islamic and Christian heritage, and significant role in the history of the Amhara people.
  • A. Adowa
    Adowa is a traditional Akan dance from Ghana, often performed at social and ceremonial occasions with expressive movements and drum-based music.
  • B. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • C. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • D. Panay
    Panay is a major island in the Western Visayas region of the Philippines, known for its rich history, agriculture, and proximity to the resort island of Boracay.
  • E. Arrifes
    Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590116e88190b8495b2a78cf3fb6 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde098a5a08190873cb0aaa04890a1 completed March 21, 2026, 12:04 a.m.
NEDg Description generation batch_69bde34584348190a6b180774a542234 completed March 21, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_69bde3c85ac08190b4f8c619e19c2055 completed March 21, 2026, 12:18 a.m.
Created at: March 20, 2026, 1:10 p.m.