Triple

T13861146
Position Surface form Disambiguated ID Type / Status
Subject Bolsa de Madrid E333198 entity
Predicate mainIndex P12489 FINISHED
Object IBEX 35 E333199 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: IBEX 35 | Statement: [Bolsa de Madrid, mainIndex, IBEX 35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBEX 35
Context triple: [Bolsa de Madrid, mainIndex, IBEX 35]
  • A. IBEX 35 chosen
    IBEX 35 is Spain’s benchmark stock market index, comprising the 35 most liquid and highly capitalized companies traded on the Bolsa de Madrid.
  • B. SDAX
    SDAX is a German stock market index that tracks the performance of small-cap companies listed on the Frankfurt Stock Exchange.
  • C. Euro Stoxx 50
    The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
  • D. STOXX Europe 600
    STOXX Europe 600 is a major pan-European stock market index that tracks the performance of 600 large, mid, and small-cap companies across 17 European countries.
  • E. Berliner Börse
    The Berliner Börse was Berlin’s historic stock exchange building, a prominent 19th-century financial and architectural landmark designed by Friedrich Hitzig.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ff1f78819088ae58f703e2c9ff completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.