Triple
T3468069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intesa Sanpaolo |
E73184
|
entity |
| Predicate | stockIndexMembership |
P28888
|
FINISHED |
| Object | FTSE MIB |
E81552
|
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: FTSE MIB | Statement: [Intesa Sanpaolo, stockIndexMembership, FTSE MIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FTSE MIB Context triple: [Intesa Sanpaolo, stockIndexMembership, FTSE MIB]
-
A.
FTSE MIB
chosen
FTSE MIB is the primary benchmark stock market index for the Italian equity market, comprising the largest and most liquid companies listed on the Borsa Italiana.
-
B.
Borsa Italiana
Borsa Italiana is Italy’s main stock exchange, based in Milan and a key marketplace for trading Italian and international securities.
-
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.
IBEX 35
IBEX 35 is Spain’s benchmark stock market index, comprising the 35 most liquid and highly capitalized companies traded on the Bolsa de Madrid.
-
E.
S&P Europe 350
S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680763608190acdd146dc7c0b239 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.