Triple

T19337706
Position Surface form Disambiguated ID Type / Status
Subject Anazarbus E483663 entity
Predicate modernLocalityName P113224 FINISHED
Object Dilekkaya
Dilekkaya is a modern village in southern Turkey located on the site of the ancient city and fortress of Anazarbus (Anavarza).
 E1370363 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: Dilekkaya | Statement: [Anazarbus, modernLocalityName, Dilekkaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dilekkaya
Context triple: [Anazarbus, modernLocalityName, Dilekkaya]
  • A. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • B. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • C. Alacakaya
    Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
  • D. Karakoçan
    Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
  • E. Turkomaneli
    Turkomaneli is a term referring to the regions of Iraq predominantly inhabited by the Iraqi Turkmen ethnic minority.
  • 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: Dilekkaya
Triple: [Anazarbus, modernLocalityName, Dilekkaya]
Generated description
Dilekkaya is a modern village in southern Turkey located on the site of the ancient city and fortress of Anazarbus (Anavarza).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dilekkaya
Target entity description: Dilekkaya is a modern village in southern Turkey located on the site of the ancient city and fortress of Anazarbus (Anavarza).
  • A. Darıca
    Darıca is a coastal town and district in northwestern Turkey, situated on the Sea of Marmara and known for its zoo, recreation areas, and proximity to Istanbul.
  • B. Yassıada
    Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
  • C. Alacakaya
    Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
  • D. Karakoçan
    Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
  • E. Turkomaneli
    Turkomaneli is a term referring to the regions of Iraq predominantly inhabited by the Iraqi Turkmen ethnic minority.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be6ac188190b8d79eb5ec97b05e completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071cf7f98881908b31de622b40a56a completed May 15, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a071d8e10dc8190a5c643e1e1f685ad completed May 15, 2026, 1:20 p.m.
Created at: April 10, 2026, 1:33 p.m.