Triple
T26272182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogier de le Pasture |
E660451
|
entity |
| Predicate | convertedNameLanguage |
P151534
|
FINISHED |
| Object | Middle Dutch |
—
|
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: Middle Dutch | Statement: [Rogier de le Pasture, convertedNameLanguage, Middle Dutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedNameLanguage Context triple: [Rogier de le Pasture, convertedNameLanguage, Middle Dutch]
-
A.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
-
B.
translatedFromName
Indicates that one entity is a translated version of another entity’s name.
-
C.
conversionName
Indicates that one entity is the name or label assigned to a specific conversion event or conversion process associated with another entity.
-
D.
labelNameLanguage
chosen
Indicates the language in which a given label or name is expressed.
-
E.
languageName
Indicates the specific name assigned to a language in the relationship.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 26, 2026, 9:51 p.m.