Triple

T15755058
Position Surface form Disambiguated ID Type / Status
Subject FTSEMIB E381945 entity
Predicate dataVendorCode P508 FINISHED
Object FTSEMIB E381945 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: FTSEMIB | Statement: [FTSEMIB, dataVendorCode, FTSEMIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FTSEMIB
Context triple: [FTSEMIB, dataVendorCode, FTSEMIB]
  • A. FTSEMIB chosen
    FTSEMIB is the ticker symbol for Italy’s primary stock market index, which tracks the performance of the 40 most liquid and capitalized companies listed on the Borsa Italiana.
  • B. SIBF
    SIBF is the acronym for the Sharjah International Book Fair, one of the largest and most prominent literary and publishing events in the Arab world.
  • C. ITM
    ITM is the IATA airport code for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
  • D. S-IB
    S-IB was the first stage of NASA’s Saturn IB launch vehicle, a clustered-engine booster used in the Apollo program for Earth-orbital missions and testing.
  • E. TIB
    TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9096d65c81908755cae83cc48e61 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.