Triple

T5697462
Position Surface form Disambiguated ID Type / Status
Subject Baščaršija E125573 entity
Predicate hasPart P35 FINISHED
Object 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.
 E552615 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: Brusa Bezistan | Statement: [Baščaršija, hasPart, Brusa Bezistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brusa Bezistan
Context triple: [Baščaršija, hasPart, Brusa Bezistan]
  • A. Eminönü
    Eminönü is a historic waterfront district in Istanbul known for its bustling ferry docks, spice and textile markets, and landmarks like the New Mosque and the Egyptian Bazaar.
  • B. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • C. Ortaköy
    Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
  • D. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • E. Yenimahalle
    Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
  • 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: Brusa Bezistan
Triple: [Baščaršija, hasPart, Brusa Bezistan]
Generated description
Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brusa Bezistan
Target entity description: Brusa Bezistan is a historic covered market building in Sarajevo’s old bazaar area, known for its Ottoman-era architecture and traditional trading stalls.
  • A. Eminönü
    Eminönü is a historic waterfront district in Istanbul known for its bustling ferry docks, spice and textile markets, and landmarks like the New Mosque and the Egyptian Bazaar.
  • B. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • C. Ortaköy
    Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
  • D. Beştepe
    Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
  • E. Yenimahalle
    Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240d6c0c8190bf970c7652fd9573 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0ade6648190b29c64f83ceed326 completed March 23, 2026, 3:17 a.m.
NEDg Description generation batch_69c0b1c9ebdc819089752d150b584a6f completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b27981848190a5b7c618044241b0 completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:45 p.m.