Triple

T16492462
Position Surface form Disambiguated ID Type / Status
Subject Pogradec region E400599 entity
Predicate hasSettlement P1068 FINISHED
Object Tushemisht
Tushemisht is a lakeside village in southeastern Albania, known for its scenic location on the shores of Lake Ohrid near the Macedonian border.
E1216649 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: Tushemisht | Statement: [Pogradec region, hasSettlement, Tushemisht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tushemisht
Context triple: [Pogradec region, hasSettlement, Tushemisht]
  • A. Tashlultum
    Tashlultum was a queen of the Akkadian Empire, known primarily as the wife of the powerful ruler Naram-Sin.
  • B. Tumasik
    Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Nemtyemsaf
    Nemtyemsaf was an ancient Egyptian royal name borne by pharaohs of the Sixth Dynasty, notably Merenre Nemtyemsaf I.
  • E. Teishebaini
    Teishebaini was an ancient Urartian fortress-city near modern Yerevan in Armenia, notable for its well-preserved archaeological remains and insights into Urartian urban life and military architecture.
  • 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: Tushemisht
Triple: [Pogradec region, hasSettlement, Tushemisht]
Generated description
Tushemisht is a lakeside village in southeastern Albania, known for its scenic location on the shores of Lake Ohrid near the Macedonian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tushemisht
Target entity description: Tushemisht is a lakeside village in southeastern Albania, known for its scenic location on the shores of Lake Ohrid near the Macedonian border.
  • A. Tashlultum
    Tashlultum was a queen of the Akkadian Empire, known primarily as the wife of the powerful ruler Naram-Sin.
  • B. Tumasik
    Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Nemtyemsaf
    Nemtyemsaf was an ancient Egyptian royal name borne by pharaohs of the Sixth Dynasty, notably Merenre Nemtyemsaf I.
  • E. Teishebaini
    Teishebaini was an ancient Urartian fortress-city near modern Yerevan in Armenia, notable for its well-preserved archaeological remains and insights into Urartian urban life and military architecture.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058266b8c8190adc0974025553783 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0058919c148190b0fae3d33e62377f completed May 10, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0059da52dc8190ad1a4ed4a659be26 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:13 a.m.