Triple

T19291998
Position Surface form Disambiguated ID Type / Status
Subject Eyüp, Istanbul E482465 entity
Predicate hasCityPart P12399 FINISHED
Object Rami
Rami is a neighborhood in the Eyüp district on the European side of Istanbul, Turkey.
E1369562 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: Rami | Statement: [Eyüp, Istanbul, hasCityPart, Rami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rami
Context triple: [Eyüp, Istanbul, hasCityPart, Rami]
  • A. Rami
    Rami is a musician best known as the longtime keyboardist for the rock band Foo Fighters and a former member of The Wallflowers.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • D. Rami Nassar
    Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
  • E. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • 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: Rami
Triple: [Eyüp, Istanbul, hasCityPart, Rami]
Generated description
Rami is a neighborhood in the Eyüp district on the European side of Istanbul, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rami
Target entity description: Rami is a neighborhood in the Eyüp district on the European side of Istanbul, Turkey.
  • A. Rami
    Rami is a musician best known as the longtime keyboardist for the rock band Foo Fighters and a former member of The Wallflowers.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • D. Rami Nassar
    Rami Nassar is a technology and innovation leader known for his work in digital strategy, product development, and emerging technologies.
  • E. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc819a7881909a7afbd06d9dd3f0 completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07144f4dec8190a90234763f4586f6 completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a07187a53a08190b707b0e55dcdcb44 completed May 15, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0718cd7e9881909b39b362cc8bfcd8 completed May 15, 2026, 12:59 p.m.
Created at: April 10, 2026, 1:31 p.m.