Triple
T23044895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiona Campbell |
E573849
|
entity |
| Predicate | timePhenomenonAssociated |
P137709
|
FINISHED |
| Object | village appears one day every hundred years |
—
|
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: village appears one day every hundred years | Statement: [Fiona Campbell, timePhenomenonAssociated, village appears one day every hundred years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePhenomenonAssociated Context triple: [Fiona Campbell, timePhenomenonAssociated, village appears one day every hundred years]
-
A.
timePeriodEvent
Indicates that an event occurs, is scheduled, or is valid within a specified time period.
-
B.
examplePhenomenon
Indicates a representative or illustrative occurrence used to demonstrate or clarify a broader phenomenon or pattern.
-
C.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
-
D.
encounteredPhenomenon
Indicates that an entity has come across, experienced, or observed a particular phenomenon.
-
E.
hasAssociatedPhenomenon
chosen
Indicates that one entity is linked to, or typically occurs together with, a particular phenomenon or observable event.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1851811e08190a5af6a112687327e |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.