Triple

T15854974
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Dentistry, Gazi University E384429 entity
Predicate locatedIn P40 FINISHED
Object Emek, Ankara
Emek, Ankara is a central neighborhood in Turkey’s capital city known for its residential character and educational institutions, including facilities of Gazi University.
E1179495 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: Emek, Ankara | Statement: [Faculty of Dentistry, Gazi University, locatedIn, Emek, Ankara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emek, Ankara
Context triple: [Faculty of Dentistry, Gazi University, locatedIn, Emek, Ankara]
  • A. Etimesgut
    Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
  • B. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • C. Esenboğa
    Esenboğa is a district and locality near Ankara, Turkey, best known for hosting Ankara’s main international airport.
  • D. Ankara
    Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
  • E. Esenler
    Esenler is a densely populated working- and middle-class district on Istanbul’s European side, known as a major transportation hub with extensive bus and metro connections.
  • 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: Emek, Ankara
Triple: [Faculty of Dentistry, Gazi University, locatedIn, Emek, Ankara]
Generated description
Emek, Ankara is a central neighborhood in Turkey’s capital city known for its residential character and educational institutions, including facilities of Gazi University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emek, Ankara
Target entity description: Emek, Ankara is a central neighborhood in Turkey’s capital city known for its residential character and educational institutions, including facilities of Gazi University.
  • A. Etimesgut
    Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
  • B. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • C. Esenboğa
    Esenboğa is a district and locality near Ankara, Turkey, best known for hosting Ankara’s main international airport.
  • D. Ankara
    Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
  • E. Esenler
    Esenler is a densely populated working- and middle-class district on Istanbul’s European side, known as a major transportation hub with extensive bus and metro connections.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caf6ae481909ae1385cb4548612 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14977408190815ef02cc54075cc completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41a86ec8190b46d541965ecf26e completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa496f3e48190b8dc82bece548aec completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.