Triple
T36565776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palio di Legnano |
E901971
|
entity |
| Predicate | hasHiatusDuring |
P6409
|
FINISHED |
| Object | World War II |
—
|
NE NERFINISHED |
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: World War II | Statement: [Palio di Legnano, hasHiatusDuring, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHiatusDuring Context triple: [Palio di Legnano, hasHiatusDuring, World War II]
-
A.
hasPeriodOf
Indicates that one entity possesses, experiences, or is associated with a specific span or interval of time.
-
B.
hasHistoricalInterruptions
chosen
Indicates that the continuity of an event, process, or relationship has been broken by one or more distinct interruptions over time.
-
C.
tookHiatusFromModeling
Indicates that an individual temporarily paused or interrupted their modeling career or activities.
-
D.
heldIntermittently
Indicates that the relationship or state between entities occurred in a non-continuous, on-and-off manner over a period of time.
-
E.
hasNotabilityPeriod
Indicates the time span during which an entity is or was notable or prominent.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 3, 2026, 4:11 p.m.