Triple
T35300404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruud van Nistelrooij |
E1019487
|
entity |
| Predicate | totalCapsForNetherlands |
P189366
|
FINISHED |
| Object | 70 |
—
|
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: 70 | Statement: [Ruud van Nistelrooij, totalCapsForNetherlands, 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCapsForNetherlands Context triple: [Ruud van Nistelrooij, totalCapsForNetherlands, 70]
-
A.
goalsNetherlands
Indicates the number of goals scored by the Netherlands in a given match or context.
-
B.
countryOfNLTeam
Indicates the country that a particular national league team represents or belongs to.
-
C.
primaryPortNetherlands
Indicates that the referenced port serves as the main or principal port for activities related to the Netherlands.
-
D.
differenceFromFlagOfNetherlands
Indicates that something is being compared to the flag of the Netherlands in terms of how it differs from that flag.
-
E.
divisions_NL
Indicates that one entity is divided into multiple parts, sections, or subdivisions within a non-locational (NL) context.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.