Triple
T29245755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portorosso Cup triathlon |
E741436
|
entity |
| Predicate | targetParticipantsInStory |
P190487
|
FINISHED |
| Object | children of Portorosso |
—
|
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: children of Portorosso | Statement: [Portorosso Cup triathlon, targetParticipantsInStory, children of Portorosso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetParticipantsInStory Context triple: [Portorosso Cup triathlon, targetParticipantsInStory, children of Portorosso]
-
A.
targetConsumerInStory
Indicates that a specified consumer is the intended or focal target within the context of a particular story or narrative.
-
B.
partnerInStory
Indicates that two or more entities are partners or collaborators within the context of a specific story or narrative.
-
C.
audienceWithinStory
Indicates that an audience exists as an internal, in-story observer or listener within the narrative itself, rather than outside it.
-
D.
ownerInStory
Indicates that one entity is the owner of another entity within the context or narrative of a specific story.
-
E.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 28, 2026, 12:32 p.m.