Triple

T716693
Position Surface form Disambiguated ID Type / Status
Subject Antalya E14330 entity
Predicate hasDistrict P459 FINISHED
Object Kaleiçi
Kaleiçi is the historic old town of Antalya, Turkey, known for its preserved Ottoman-era houses, narrow cobbled streets, and ancient harbor.
 E86548 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: Kaleiçi | Statement: [Antalya, hasDistrict, Kaleiçi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaleiçi
Context triple: [Antalya, hasDistrict, Kaleiçi]
  • A. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • B. Kali
    Kali is a fierce and powerful Hindu goddess associated with time, destruction, and the transformative power that annihilates evil.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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: Kaleiçi
Triple: [Antalya, hasDistrict, Kaleiçi]
Generated description
Kaleiçi is the historic old town of Antalya, Turkey, known for its preserved Ottoman-era houses, narrow cobbled streets, and ancient harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaleiçi
Target entity description: Kaleiçi is the historic old town of Antalya, Turkey, known for its preserved Ottoman-era houses, narrow cobbled streets, and ancient harbor.
  • A. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • B. Kali
    Kali is a fierce and powerful Hindu goddess associated with time, destruction, and the transformative power that annihilates evil.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a57649dc8190bfdee2f9c0c90415 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63757e5848190b7c11820f67b20a7 completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63a3e81688190ab49d55fb53bfb00 completed March 3, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_69a63ae6b6b88190aa2bb2e39b7afff6 completed March 3, 2026, 1:35 a.m.
Created at: March 1, 2026, 7:37 p.m.