Triple

T10792463
Position Surface form Disambiguated ID Type / Status
Subject Kayseri Province E254615 entity
Predicate contains P35 FINISHED
Object Talas
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
 E885383 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: Talas | Statement: [Kayseri Province, contains, Talas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talas
Context triple: [Kayseri Province, contains, Talas]
  • A. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • B. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • C. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • D. Jibal
    Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
  • E. Tahla
    Tahla is a small town in northern Morocco, situated in the Rif region and known as a gateway to nearby mountain landscapes.
  • 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: Talas
Triple: [Kayseri Province, contains, Talas]
Generated description
Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talas
Target entity description: Talas is a district and rapidly growing residential area of the central Anatolian city of Kayseri in Turkey.
  • A. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • B. Tawilis
    Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
  • C. Youlan
    Youlan was a Qing dynasty noblewoman best known as the mother of Puyi, the last emperor of China.
  • D. Jibal
    Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
  • E. Tahla
    Tahla is a small town in northern Morocco, situated in the Rif region and known as a gateway to nearby mountain landscapes.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5637ec50819087f1a0372f89197d completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.