Triple

T7176047
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Architecture, Istanbul Technical University E167320 entity
Predicate campus P269 FINISHED
Object Taskisla
Taskisla is a historic 19th-century building in Istanbul that serves as a prominent campus of Istanbul Technical University’s Faculty of Architecture.
 E646564 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: Taskisla | Statement: [Faculty of Architecture, Istanbul Technical University, campus, Taskisla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taskisla
Context triple: [Faculty of Architecture, Istanbul Technical University, campus, Taskisla]
  • A. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • B. Taznatit
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • E. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • 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: Taskisla
Triple: [Faculty of Architecture, Istanbul Technical University, campus, Taskisla]
Generated description
Taskisla is a historic 19th-century building in Istanbul that serves as a prominent campus of Istanbul Technical University’s Faculty of Architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taskisla
Target entity description: Taskisla is a historic 19th-century building in Istanbul that serves as a prominent campus of Istanbul Technical University’s Faculty of Architecture.
  • A. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • B. Taznatit
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Toqabaqita
    Toqabaqita is an Oceanic language spoken in the Solomon Islands, particularly on Malaita Island.
  • E. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88ec6a8819083cbc3f4c39b8c79 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b9281e808190ac2a8ad585a70ea0 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9993f40819098c59865a3e64532 completed March 28, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba4f196c8190b29e6ddc091f11a6 completed March 28, 2026, 11:23 a.m.
Created at: March 27, 2026, 2:48 p.m.