Triple
T36492880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarrant Hinton |
E899097
|
entity |
| Predicate | GreatDorsetSteamFairFounded |
P185602
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Tarrant Hinton, GreatDorsetSteamFairFounded, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GreatDorsetSteamFairFounded Context triple: [Tarrant Hinton, GreatDorsetSteamFairFounded, 1969]
-
A.
Pinner Fair
Indicates a fair or event taking place in, associated with, or named after Pinner.
-
B.
hasCountyFair
Indicates that a place or region hosts or holds a county fair event.
-
C.
yearOfWorldsFair
Indicates the specific year in which a given World's Fair event took place.
-
D.
worldsFairAssociation
Indicates an association or involvement between an entity and a World's Fair event (e.g., participation, sponsorship, or formal linkage).
-
E.
abbeyFoundedInYearApprox
Indicates that an abbey was founded around an approximate year, rather than on a precisely known date.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.