Triple

T10994611
Position Surface form Disambiguated ID Type / Status
Subject Mikael Hakkarainen E259829 entity
Predicate playedForTeam P2168 FINISHED
Object TPS E887551 NE FINISHED

How this triple was built (2 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: TPS | Statement: [Mikael Hakkarainen, playedForTeam, TPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TPS
Context triple: [Mikael Hakkarainen, playedForTeam, TPS]
  • A. TPS
    TPS is a U.S. immigration designation that allows nationals of certain countries facing conflict or disaster to live and work temporarily in the United States.
  • B. TPS
    TPS is a renowned lean manufacturing and management philosophy developed by Toyota that emphasizes waste reduction, continuous improvement, and respect for people.
  • C. TPS chosen
    TPS is a Finnish sports club from Turku best known for its professional ice hockey and football teams.
  • D. TPS
    TPS is the IATA airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in western Sicily, Italy.
  • E. 7TP
    The 7TP was a Polish light tank of the 1930s, notable for its improved armor, armament, and diesel engine compared to contemporary designs, and used during the early stages of World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d59ebc8190baff1f50bdc46c1b completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3451451988190add2762b1e1be8ed completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.