Triple

T17892566
Position Surface form Disambiguated ID Type / Status
Subject Imperial Ottoman mints E447357 entity
Predicate hadProvincialMint P129202 FINISHED
Object Bursa mint
Bursa mint was a key provincial coin-producing facility of the Ottoman Empire located in the city of Bursa.
E1294065 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: Bursa mint | Statement: [Imperial Ottoman mints, hadProvincialMint, Bursa mint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bursa mint
Context triple: [Imperial Ottoman mints, hadProvincialMint, Bursa mint]
  • A. Bursinel
    Bursinel is a small Swiss municipality in the canton of Vaud, known for its scenic location above Lake Geneva and its surrounding vineyards.
  • B. Baskinta
    Baskinta is a picturesque Lebanese mountain village known for its scenic landscapes, cool climate, and rich literary and cultural heritage.
  • C. Buçimas
    Buçimas is a settlement in southeastern Albania, located near the city of Pogradec on the shores of Lake Ohrid.
  • D. Borsa
    Borsa is the nickname of Roger Borsa, a medieval Norman nobleman who ruled as Duke of Apulia in southern Italy.
  • E. Bursa İskender
    Bursa İskender is a famous regional style of İskender kebab originating from the Turkish city of Bursa, known for its thinly sliced döner meat served over pide bread with tomato sauce, melted butter, and yogurt.
  • 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: Bursa mint
Triple: [Imperial Ottoman mints, hadProvincialMint, Bursa mint]
Generated description
Bursa mint was a key provincial coin-producing facility of the Ottoman Empire located in the city of Bursa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bursa mint
Target entity description: Bursa mint was a key provincial coin-producing facility of the Ottoman Empire located in the city of Bursa.
  • A. Bursinel
    Bursinel is a small Swiss municipality in the canton of Vaud, known for its scenic location above Lake Geneva and its surrounding vineyards.
  • B. Baskinta
    Baskinta is a picturesque Lebanese mountain village known for its scenic landscapes, cool climate, and rich literary and cultural heritage.
  • C. Buçimas
    Buçimas is a settlement in southeastern Albania, located near the city of Pogradec on the shores of Lake Ohrid.
  • D. Borsa
    Borsa is the nickname of Roger Borsa, a medieval Norman nobleman who ruled as Duke of Apulia in southern Italy.
  • E. Bursa İskender
    Bursa İskender is a famous regional style of İskender kebab originating from the Turkish city of Bursa, known for its thinly sliced döner meat served over pide bread with tomato sauce, melted butter, and yogurt.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7a855c8190b20bdbf6dcd4fd47 completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313e10c40819089cb912a020b32de completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031528abac8190b5257eff1647b6b3 completed May 12, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a03164881ec8190a783b095f3cf47b3 completed May 12, 2026, noon
Created at: April 10, 2026, 10:19 a.m.