Triple

T2986629
Position Surface form Disambiguated ID Type / Status
Subject Ankara Province E80640 entity
Predicate contains P35 FINISHED
Object Sincan
Sincan is a district and rapidly growing suburban area of Turkey’s capital region, located to the west of central Ankara.
 E324364 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: Sincan | Statement: [Ankara Province, contains, Sincan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sincan
Context triple: [Ankara Province, contains, Sincan]
  • A. Yenimahalle
    Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
  • B. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • C. Etimesgut
    Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
  • D. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • E. Ortaköy
    Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
  • 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: Sincan
Triple: [Ankara Province, contains, Sincan]
Generated description
Sincan is a district and rapidly growing suburban area of Turkey’s capital region, located to the west of central Ankara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sincan
Target entity description: Sincan is a district and rapidly growing suburban area of Turkey’s capital region, located to the west of central Ankara.
  • A. Yenimahalle
    Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
  • B. Medinaceli
    Medinaceli is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and Roman heritage.
  • C. Etimesgut
    Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
  • D. Çankaya
    Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
  • E. Ortaköy
    Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c76dfc8190b08bd6110ffabf25 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8629c7c8190b597255ab8f391af completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1f8e5cdd08190840321d7ad1fe1e2 completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f968f17c81908b1e96f482546b80 completed March 11, 2026, 11:23 p.m.
Created at: March 8, 2026, 2:59 p.m.