Triple
T1743418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giverny cemetery |
E38281
|
entity |
| Predicate | seasonalPeakOfVisitors |
P13215
|
FINISHED |
| Object | spring |
—
|
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: spring | Statement: [Giverny cemetery, seasonalPeakOfVisitors, spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalPeakOfVisitors Context triple: [Giverny cemetery, seasonalPeakOfVisitors, spring]
-
A.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
B.
touristArrivalsPerYearApprox
Indicates an approximate count of how many tourists arrive at a place over the course of a year.
-
C.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
D.
typicalSeasonTiming
chosen
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
E.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.