Triple

T3999459
Position Surface form Disambiguated ID Type / Status
Subject Atatürk Dam E87178 entity
Predicate nearestCity P350 FINISHED
Object Samsat
Samsat is a small town and district in Turkey’s Adıyaman Province, located on the Euphrates River near the massive Atatürk Dam.
 E406418 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: Samsat | Statement: [Atatürk Dam, nearestCity, Samsat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samsat
Context triple: [Atatürk Dam, nearestCity, Samsat]
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Traficom
    Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
  • D. Segamat
    Segamat is a prominent inland town and agricultural hub in the northern part of Johor, Malaysia, known for its rubber and oil palm plantations and role as a regional commercial center.
  • E. Bakar
    Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
  • 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: Samsat
Triple: [Atatürk Dam, nearestCity, Samsat]
Generated description
Samsat is a small town and district in Turkey’s Adıyaman Province, located on the Euphrates River near the massive Atatürk Dam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samsat
Target entity description: Samsat is a small town and district in Turkey’s Adıyaman Province, located on the Euphrates River near the massive Atatürk Dam.
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Traficom
    Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
  • D. Segamat
    Segamat is a prominent inland town and agricultural hub in the northern part of Johor, Malaysia, known for its rubber and oil palm plantations and role as a regional commercial center.
  • E. Bakar
    Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa4065ac8190a898a1025365b8e9 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c5b17c48190b8fd2a6728a65b10 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d41fa008190972411203c8a07f2 completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54de8dc708190b83978b15aed2e13 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.