Triple

T11240171
Position Surface form Disambiguated ID Type / Status
Subject Elazığ Province E266050 entity
Predicate hasSettlement P1068 FINISHED
Object Maden
Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
 E913384 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: Maden | Statement: [Elazığ Province, hasSettlement, Maden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maden
Context triple: [Elazığ Province, hasSettlement, Maden]
  • A. Maden
    Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
  • B. Ore
    Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
  • C. الحديدة
    الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
  • D. Greenore
    Greenore is a small coastal village and port on Carlingford Lough in County Louth, Ireland, historically known for its ferry services and railway connections.
  • E. Conzinc Island
    Conzinc Island is one of the islands within Western Australia’s Dampier Archipelago, known for its rugged coastline and proximity to significant marine and industrial activities in the Pilbara region.
  • 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: Maden
Triple: [Elazığ Province, hasSettlement, Maden]
Generated description
Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maden
Target entity description: Maden is a town and district in eastern Turkey known historically for its mining activities and mountainous terrain.
  • A. Maden
    Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
  • B. Ore
    Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
  • C. الحديدة
    الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
  • D. Greenore
    Greenore is a small coastal village and port on Carlingford Lough in County Louth, Ireland, historically known for its ferry services and railway connections.
  • E. Conzinc Island
    Conzinc Island is one of the islands within Western Australia’s Dampier Archipelago, known for its rugged coastline and proximity to significant marine and industrial activities in the Pilbara region.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12eee348190bee6c84587e4955d completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4be2bb8c88190a21773b0c43b6b99 completed April 19, 2026, 11:36 a.m.
Created at: April 8, 2026, 9:30 p.m.