Triple
T15852850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTA International |
E384381
|
entity |
| Predicate | hasMarketInfrastructure |
P2714
|
FINISHED |
| Object | electronic trading platform of Borsa Italiana |
—
|
LITERAL 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: electronic trading platform of Borsa Italiana | Statement: [MTA International, hasMarketInfrastructure, electronic trading platform of Borsa Italiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketInfrastructure Context triple: [MTA International, hasMarketInfrastructure, electronic trading platform of Borsa Italiana]
-
A.
hasMarketStructure
Indicates that one entity possesses, follows, or is characterized by a particular market structure in an economic or commercial context.
-
B.
hasMarket
chosen
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
C.
hasMarketMakers
Indicates that an entity is associated with one or more market makers who provide liquidity or facilitate trading for it.
-
D.
hasMarketIndex
Indicates that an entity is associated with, or tracked by, a specific market index.
-
E.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
- F. None of above.
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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.