Triple

T7211916
Position Surface form Disambiguated ID Type / Status
Subject Čukarica E149423 entity
Predicate contains P35 FINISHED
Object Makiš
Makiš is a forested area and recreational zone on the outskirts of Belgrade, known for its water sources and green spaces.
 E648970 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: Makiš | Statement: [Čukarica, contains, Makiš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Makiš
Context triple: [Čukarica, contains, Makiš]
  • A. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • B. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • C. Maki
    Maki is an Israeli communist political party historically associated with figures such as Meir Vilner and the broader leftist movement in Israel.
  • D. Maki
    Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
  • E. Minaki
    Minaki is a small unincorporated community and recreational area in northwestern Ontario, Canada, known for its lakeside cottages, fishing, and outdoor tourism.
  • 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: Makiš
Triple: [Čukarica, contains, Makiš]
Generated description
Makiš is a forested area and recreational zone on the outskirts of Belgrade, known for its water sources and green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Makiš
Target entity description: Makiš is a forested area and recreational zone on the outskirts of Belgrade, known for its water sources and green spaces.
  • A. Makatsch
    Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
  • B. Makus
    Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
  • C. Maki
    Maki is an Israeli communist political party historically associated with figures such as Meir Vilner and the broader leftist movement in Israel.
  • D. Maki
    Maki is a Japanese surname most notably associated with Fumihiko Maki, a prominent modernist architect known for his innovative urban and architectural designs.
  • E. Minaki
    Minaki is a small unincorporated community and recreational area in northwestern Ontario, Canada, known for its lakeside cottages, fishing, and outdoor tourism.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96f99088190a085476bcfca26fd completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfcec3448190ab29c3742aa167ae completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c05a1f548190914a9b2ba98cbef2 completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c0e6b508819093092e3516a9ec46 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:53 p.m.