Triple

T18618671
Position Surface form Disambiguated ID Type / Status
Subject Wollo E455093 entity
Predicate hasCity P316 FINISHED
Object Woldiya
Woldiya is a town in northern Ethiopia that serves as an important commercial and administrative center in the Amhara Region.
E1333356 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: Woldiya | Statement: [Wollo, hasCity, Woldiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woldiya
Context triple: [Wollo, hasCity, Woldiya]
  • A. Wallacia
    Wallacia is a semi-rural suburb in western Sydney, New South Wales, Australia, known for its riverside setting along the Nepean River and surrounding bushland.
  • B. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • C. Erblande
    Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
  • D. Walrussia
    Walrussia is a humorous nickname for Alaska, referencing its purchase from Russia in what was derisively called "Seward's Folly."
  • E. Rumen
    Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • 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: Woldiya
Triple: [Wollo, hasCity, Woldiya]
Generated description
Woldiya is a town in northern Ethiopia that serves as an important commercial and administrative center in the Amhara Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woldiya
Target entity description: Woldiya is a town in northern Ethiopia that serves as an important commercial and administrative center in the Amhara Region.
  • A. Wallacia
    Wallacia is a semi-rural suburb in western Sydney, New South Wales, Australia, known for its riverside setting along the Nepean River and surrounding bushland.
  • B. Mulk
    Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
  • C. Erblande
    Erblande refers to the core hereditary territories of the Habsburg dynasty in Central Europe, forming the dynastic heartland of their monarchy.
  • D. Walrussia
    Walrussia is a humorous nickname for Alaska, referencing its purchase from Russia in what was derisively called "Seward's Folly."
  • E. Rumen
    Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050390bd4c8190b623f08a12eee39b completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a050455e6e8819084927b1c2d4a5237 completed May 13, 2026, 11:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 11:46 a.m.