Triple
T18948269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan |
E463572
|
entity |
| Predicate | usageFrequencyInNetherlands |
P68012
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Jan, usageFrequencyInNetherlands, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageFrequencyInNetherlands Context triple: [Jan, usageFrequencyInNetherlands, high]
-
A.
primaryPortNetherlands
Indicates that the referenced port serves as the main or principal port for activities related to the Netherlands.
-
B.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
C.
usageAmong
chosen
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
D.
latestCommonUse
Indicates the most recent point in time at which two or more entities were used or applicable in common.
-
E.
hasNameInDutch
Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d540e57c8190bb17fff6d4254320 |
completed | April 20, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.