Triple

T15525640
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Life Sciences, Tel Aviv University E369074 entity
Predicate countryISO P208 FINISHED
Object IL E37846 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: IL | Statement: [Faculty of Life Sciences, Tel Aviv University, countryISO, IL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IL
Context triple: [Faculty of Life Sciences, Tel Aviv University, countryISO, IL]
  • A. IL chosen
    IL is the two-letter ISO 3166-1 alpha-2 country code assigned to Israel for international standardization and data representation.
  • B. IL
    IL is the vehicle registration code used on license plates for County Fermanagh in Northern Ireland.
  • C. IL
    IL is the standard two-letter postal abbreviation for the U.S. state of Illinois.
  • D. IL
    IL is the vehicle registration code used for the district encompassing the Slovak town of Dubnica nad Váhom.
  • E. ILA
    ILA is the commonly used acronym for the Israel Land Authority, the government agency responsible for managing most of Israel’s land resources.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d598e6c8190870e9249197f5f53 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.