Triple
T36492883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarrant Hinton |
E899097
|
entity |
| Predicate | GreatDorsetSteamFairDuration |
P84227
|
FINISHED |
| Object | multi-day event |
—
|
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: multi-day event | Statement: [Tarrant Hinton, GreatDorsetSteamFairDuration, multi-day event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreatDorsetSteamFairDuration Context triple: [Tarrant Hinton, GreatDorsetSteamFairDuration, multi-day event]
-
A.
GreatDorsetSteamFairType
Indicates that there is a relationship involving the type or category classification associated with the Great Dorset Steam Fair.
-
B.
GreatDorsetSteamFairFounded
Indicates that an entity is the person or organization that founded the Great Dorset Steam Fair.
-
C.
durationOfFestivalContext
chosen
Indicates the length of time for which a festival takes place within a given contextual setting or event instance.
-
D.
homeVenueDuration
Indicates the length of time an entity uses or has used a particular venue as its home location for events or activities.
-
E.
missionDurationHoursApprox
Indicates an approximate length of time, measured in hours, that a mission is expected to last or has lasted.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.