Triple

T4286882
Position Surface form Disambiguated ID Type / Status
Subject Aspendos E97290 entity
Predicate locatedNear P294 FINISHED
Object Serik
Serik is a town and district in Turkey’s Antalya Province, known as a gateway to nearby ancient sites and Mediterranean coastal resorts.
 E425998 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: Serik | Statement: [Aspendos, locatedNear, Serik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Serik
Context triple: [Aspendos, locatedNear, Serik]
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • C. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • D. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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: Serik
Triple: [Aspendos, locatedNear, Serik]
Generated description
Serik is a town and district in Turkey’s Antalya Province, known as a gateway to nearby ancient sites and Mediterranean coastal resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Serik
Target entity description: Serik is a town and district in Turkey’s Antalya Province, known as a gateway to nearby ancient sites and Mediterranean coastal resorts.
  • A. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • B. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • C. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • D. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • E. Gaziemir
    Gaziemir is a district of İzmir, Turkey, known for its proximity to the city’s main international airport and its role as a growing residential and commercial hub.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505d23d88190a638f2cc2acee9ee completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c8c1ac819086ded38c1abe9b63 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b8e9ab9c81909a19062a901e8a1b completed March 14, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69b5b95cfbdc8190b65cf338aa9abd5b completed March 14, 2026, 7:39 p.m.
Created at: March 12, 2026, 11:08 p.m.