Triple
T12663105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Union (Italy) |
E302472
|
entity |
| Predicate | numberOfChambersWonIn2006 |
P31127
|
FINISHED |
| Object | both houses of the Italian Parliament (narrow majority in Senate) |
—
|
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: both houses of the Italian Parliament (narrow majority in Senate) | Statement: [The Union (Italy), numberOfChambersWonIn2006, both houses of the Italian Parliament (narrow majority in Senate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChambersWonIn2006 Context triple: [The Union (Italy), numberOfChambersWonIn2006, both houses of the Italian Parliament (narrow majority in Senate)]
-
A.
seriesWins2006to2013
Indicates that one entity won a series against another entity at some point between the years 2006 and 2013.
-
B.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
-
C.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
-
D.
numberOfSeatsWon
chosen
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
E.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.