Triple
T16293022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Military Order of William |
E395571
|
entity |
| Predicate | orderRankInNetherlands |
P45181
|
FINISHED |
| Object | highest military order |
—
|
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: highest military order | Statement: [Grand Cross of the Military Order of William, orderRankInNetherlands, highest military order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderRankInNetherlands Context triple: [Grand Cross of the Military Order of William, orderRankInNetherlands, highest military order]
-
A.
chartPositionNetherlandsSinglesChart
Indicates the position that a musical work or release achieved on the Netherlands Singles Chart.
-
B.
primaryPortNetherlands
Indicates that the referenced port serves as the main or principal port for activities related to the Netherlands.
-
C.
certificationNetherlands
Indicates that an entity holds or is associated with a certification that is valid or recognized in the Netherlands.
-
D.
rankingInEurope
Indicates the position or level an entity holds within a comparative ranking limited to Europe.
-
E.
rankingInCountry
chosen
Indicates the position or level an entity holds within an ordered list specific to a particular country.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2aee6881909fd28547f135427c |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:05 a.m.