Triple

T16114059
Position Surface form Disambiguated ID Type / Status
Subject Şehzadebaşı Caddesi E390957 entity
Predicate locatedNear P294 FINISHED
Object Beyazıt
Beyazıt is a historic district in Istanbul’s Fatih area, known for its bustling square, university campus, and proximity to major Ottoman-era landmarks and bazaars.
 E1194475 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: Beyazıt | Statement: [Şehzadebaşı Caddesi, locatedNear, Beyazıt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beyazıt
Context triple: [Şehzadebaşı Caddesi, locatedNear, Beyazıt]
  • A. Esenboğa
    Esenboğa is a district and locality near Ankara, Turkey, best known for hosting Ankara’s main international airport.
  • B. Nişantaşı
    Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
  • C. Bağçasaray
    Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
  • D. Brusa Bezistan
    Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
  • E. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • 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: Beyazıt
Triple: [Şehzadebaşı Caddesi, locatedNear, Beyazıt]
Generated description
Beyazıt is a historic district in Istanbul’s Fatih area, known for its bustling square, university campus, and proximity to major Ottoman-era landmarks and bazaars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beyazıt
Target entity description: Beyazıt is a historic district in Istanbul’s Fatih area, known for its bustling square, university campus, and proximity to major Ottoman-era landmarks and bazaars.
  • A. Esenboğa
    Esenboğa is a district and locality near Ankara, Turkey, best known for hosting Ankara’s main international airport.
  • B. Nişantaşı
    Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
  • C. Bağçasaray
    Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
  • D. Brusa Bezistan
    Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
  • E. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20169ce488190bbc814f23a3b7547 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba90ffc81909d5eb8f0cfa9f147 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec6ce4e881908b530a981375cc55 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.