Triple

T11364066
Position Surface form Disambiguated ID Type / Status
Subject Medgidia E269157 entity
Predicate formerName P65 FINISHED
Object Karasu
Karasu is the former name of Medgidia, a city in southeastern Romania’s Dobruja region.
E921517 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: Karasu | Statement: [Medgidia, formerName, Karasu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karasu
Context triple: [Medgidia, formerName, Karasu]
  • A. Karasu
    Karasu is a coastal town and district in northwestern Turkey known for its Black Sea beaches and location within Sakarya Province.
  • B. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • C. Kambe
    Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • 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: Karasu
Triple: [Medgidia, formerName, Karasu]
Generated description
Karasu is the former name of Medgidia, a city in southeastern Romania’s Dobruja region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karasu
Target entity description: Karasu is the former name of Medgidia, a city in southeastern Romania’s Dobruja region.
  • A. Karasu
    Karasu is a coastal town and district in northwestern Turkey known for its Black Sea beaches and location within Sakarya Province.
  • B. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • C. Kambe
    Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Murai
    Murai is a Japanese surname borne by various notable individuals across fields such as film, music, and sports.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5565df5508190aeda7d064bceb157 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c6e7c8819098d22a6e0daa4a51 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a472f0c819086c1cccaa5ca0ae7 completed April 19, 2026, 11:50 p.m.
Created at: April 8, 2026, 9:33 p.m.