Triple

T13590989
Position Surface form Disambiguated ID Type / Status
Subject LBN E324690 entity
Predicate countryNameFrench P6538 FINISHED
Object Liban E10701 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: Liban | Statement: [LBN, countryNameFrench, Liban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liban
Context triple: [LBN, countryNameFrench, Liban]
  • A. Lebanon
    Lebanon is a small city in central Tennessee known as the home of Cumberland University and the headquarters of the Cracker Barrel restaurant chain.
  • B. Lebanon chosen
    Lebanon is a small Middle Eastern country on the eastern shore of the Mediterranean Sea, known for its rich history, diverse religious and cultural heritage, and historic capital, Beirut.
  • C. Lebanon
    Lebanon is a small city in central Indiana, United States, serving as the county seat of Boone County and part of the greater Indianapolis metropolitan region.
  • D. The Lebanon
    "The Lebanon" is a politically charged 1984 synth-pop song by British band The Human League that comments on the Lebanese Civil War.
  • E. Tunisia
    Tunisia is a North African country on the Mediterranean coast, known for its strategic location, ancient Carthaginian and Roman heritage, and role as a key battleground in 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.