Triple
T24632472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadio delle Alpi |
E609714
|
entity |
| Predicate | demolitionResult |
P124550
|
FINISHED |
| Object | site of Juventus Stadium |
—
|
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: site of Juventus Stadium | Statement: [Stadio delle Alpi, demolitionResult, site of Juventus Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionResult Context triple: [Stadio delle Alpi, demolitionResult, site of Juventus Stadium]
-
A.
demolitionStatus
Indicates the current state or progress of a demolition process affecting an entity.
-
B.
demolishedAsResultOf
chosen
Indicates that one entity was demolished as a direct consequence or outcome of another event, action, or condition.
-
C.
demolitionEnd
Indicates the point in time or event at which a demolition process is completed or comes to an end.
-
D.
demolitionImpact
Indicates the effect or consequences that a demolition action has on a target entity or its surrounding environment.
-
E.
demolitionMethod
Indicates the technique or process used to carry out a demolition.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.