Triple
T12242852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfano second version |
E291777
|
entity |
| Predicate | hasShorterDurationThan |
P103660
|
FINISHED |
| Object | Alfano first version |
—
|
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: Alfano first version | Statement: [Alfano second version, hasShorterDurationThan, Alfano first version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShorterDurationThan Context triple: [Alfano second version, hasShorterDurationThan, Alfano first version]
-
A.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
B.
alternativeDuration
Indicates that there is an additional or substitute time span associated with an event or activity, differing from its primary or standard duration.
-
C.
hasDurationType
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
D.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
E.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
- F. None of above. chosen
Provenance (4 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:51 p.m.