Triple

T16072798
Position Surface form Disambiguated ID Type / Status
Subject Lech Poznań E389903 entity
Predicate abbreviation P43 FINISHED
Object KKS
KKS is the commonly used abbreviation for Lech Poznań, a major Polish professional football club based in Poznań.
E1192471 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: KKS | Statement: [Lech Poznań, abbreviation, KKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KKS
Context triple: [Lech Poznań, abbreviation, KKS]
  • A. KSS
    KSS is the abbreviated name of the Kaohsiung 17LIVE Steelers, a professional basketball team based in Kaohsiung, Taiwan.
  • B. KCS
    KCS is the common abbreviation for the Kansas City Scouts, a former National Hockey League team that later became the Colorado Rockies and then the New Jersey Devils.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KCS
    KCS is a public school district serving the Kannapolis, North Carolina area.
  • E. KCS
    KCS is the reporting mark used by Kansas City Southern Railway, a major freight railroad operating in the central and southern United States and into Mexico.
  • 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: KKS
Triple: [Lech Poznań, abbreviation, KKS]
Generated description
KKS is the commonly used abbreviation for Lech Poznań, a major Polish professional football club based in Poznań.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KKS
Target entity description: KKS is the commonly used abbreviation for Lech Poznań, a major Polish professional football club based in Poznań.
  • A. KSS
    KSS is the abbreviated name of the Kaohsiung 17LIVE Steelers, a professional basketball team based in Kaohsiung, Taiwan.
  • B. KCS
    KCS is the common abbreviation for the Kansas City Scouts, a former National Hockey League team that later became the Colorado Rockies and then the New Jersey Devils.
  • C. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • D. KCS
    KCS is a public school district serving the Kannapolis, North Carolina area.
  • E. KCS
    KCS is the reporting mark used by Kansas City Southern Railway, a major freight railroad operating in the central and southern United States and into Mexico.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bf6c488190b0099a00f13f2a69 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe67043588190864864d40956682b completed May 10, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6f510cc8190b6b8c46c0356d36a completed May 10, 2026, 2:01 a.m.
Created at: April 10, 2026, 4:57 a.m.