Triple
T25527331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Charles |
E639809
|
entity |
| Predicate | prizeTakenTo |
P159770
|
FINISHED |
| Object | Netherlands |
—
|
NE NERFINISHED |
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: Netherlands | Statement: [Royal Charles, prizeTakenTo, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prizeTakenTo Context triple: [Royal Charles, prizeTakenTo, Netherlands]
-
A.
tookPrize
Indicates that one entity received or accepted a prize or award from another entity or event.
-
B.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
C.
isNamedPrizeOf
Indicates that one entity is the official name of a prize or award associated with another entity.
-
D.
offeredAsPrizeFor
Indicates that one entity is presented or given as a reward or prize in connection with another entity, such as an event, contest, or achievement.
-
E.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f86073d0819093afb1d79b97bccc |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 3:11 p.m.