Triple

T16419995
Position Surface form Disambiguated ID Type / Status
Subject Aynanın İçindekiler E398791 entity
Predicate hasPart P35 FINISHED
Object Sırtlan Payı
Sırtlan Payı is a work by Turkish author Oğuz Atay, known as one of the pieces collected in his posthumously published book "Aynanın İçindekiler."
 E1211486 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: Sırtlan Payı | Statement: [Aynanın İçindekiler, hasPart, Sırtlan Payı]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sırtlan Payı
Context triple: [Aynanın İçindekiler, hasPart, Sırtlan Payı]
  • A. Sayil
    Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
  • B. Keskin
    Keskin is a town and district in central Turkey known for its rural character and location within Kırıkkale Province in Central Anatolia.
  • C. Baltalimanı
    Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
  • D. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • E. Tarkarli
    Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
  • 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: Sırtlan Payı
Triple: [Aynanın İçindekiler, hasPart, Sırtlan Payı]
Generated description
Sırtlan Payı is a work by Turkish author Oğuz Atay, known as one of the pieces collected in his posthumously published book "Aynanın İçindekiler."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sırtlan Payı
Target entity description: Sırtlan Payı is a work by Turkish author Oğuz Atay, known as one of the pieces collected in his posthumously published book "Aynanın İçindekiler."
  • A. Sayil
    Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
  • B. Keskin
    Keskin is a town and district in central Turkey known for its rural character and location within Kırıkkale Province in Central Anatolia.
  • C. Baltalimanı
    Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
  • D. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • E. Tarkarli
    Tarkarli is a coastal village in Maharashtra, India, known for its pristine beaches, clear waters, and popular scuba diving and snorkeling spots.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f5c1bc8190a679f35bd6c0bc97 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003ed0bc7c8190b50e5f91cbdde6b7 completed May 10, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a003f5eb85c81909aa101efccff7b86 completed May 10, 2026, 8:18 a.m.
Created at: April 10, 2026, 5:09 a.m.