Triple

T5871969
Position Surface form Disambiguated ID Type / Status
Subject Luka Modrić E130536 entity
Predicate playedFor P2170 FINISHED
Object Inter Zaprešić
Inter Zaprešić is a Croatian football club known for being one of the early professional teams in Luka Modrić’s career.
 E563351 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: Inter Zaprešić | Statement: [Luka Modrić, playedFor, Inter Zaprešić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inter Zaprešić
Context triple: [Luka Modrić, playedFor, Inter Zaprešić]
  • A. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • B. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • C. Omišalj
    Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
  • D. Đakovo
    Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
  • E. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • 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: Inter Zaprešić
Triple: [Luka Modrić, playedFor, Inter Zaprešić]
Generated description
Inter Zaprešić is a Croatian football club known for being one of the early professional teams in Luka Modrić’s career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inter Zaprešić
Target entity description: Inter Zaprešić is a Croatian football club known for being one of the early professional teams in Luka Modrić’s career.
  • A. Koprivnica
    Koprivnica is a city in northern Croatia known as a regional center of the Podravina area, with historical roots dating back to medieval times and a strong tradition in industry and culture.
  • B. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • C. Omišalj
    Omišalj is a historic coastal town and tourist destination on the northern part of the Croatian island of Krk, overlooking the Kvarner Gulf.
  • D. Đakovo
    Đakovo is a historic town in eastern Croatia renowned for its cathedral, cultural heritage, and role as a regional center in Slavonia.
  • E. Crikvenica
    Crikvenica is a coastal town and popular tourist resort on the Adriatic Sea in western Croatia.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f87a4c819092fcfce58d303d61 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1134931c48190b4a849c8f16723e3 completed March 23, 2026, 10:17 a.m.
NEDg Description generation batch_69c113de5d788190affa46cf416d180d completed March 23, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69c1144e77f881908ab59a67160c1630 completed March 23, 2026, 10:22 a.m.
Created at: March 22, 2026, 3:56 p.m.