Triple

T5870793
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Salah E130509 entity
Predicate transferTo P57570 FINISHED
Object FC Basel E442885 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: FC Basel | Statement: [Mohamed Salah, transferTo, FC Basel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Basel
Context triple: [Mohamed Salah, transferTo, FC Basel]
  • A. FC Basel chosen
    FC Basel is a prominent Swiss football club based in Basel, known for its domestic success and regular participation in European competitions.
  • B. FC Zürich
    FC Zürich is a Swiss professional football club based in Zurich, known for its multiple national championships and participation in European competitions.
  • C. BSC Young Boys
    BSC Young Boys is a professional Swiss football club based in Bern, known for competing in the Swiss Super League and regularly participating in European competitions.
  • D. Yverdon-Sport FC
    Yverdon-Sport FC is a Swiss professional football club based in Yverdon-les-Bains that competes in the country’s league system.
  • E. FC Thun
    FC Thun is a Swiss professional football club based in Thun that competes in the country’s league system and is known for its regional presence and occasional appearances in European competitions.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f6b8548190a58971b05869228d completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b10fe5908190977d1802258f9f13 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.