Triple
T3270265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta d’Oultremont |
E68628
|
entity |
| Predicate | marriageEvent |
P23691
|
FINISHED |
| Object | marriage to William I of the Netherlands after his abdication |
—
|
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: marriage to William I of the Netherlands after his abdication | Statement: [Henrietta d’Oultremont, marriageEvent, marriage to William I of the Netherlands after his abdication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEvent Context triple: [Henrietta d’Oultremont, marriageEvent, marriage to William I of the Netherlands after his abdication]
-
A.
marriageDocumentedIn
Indicates that a marriage event is recorded or evidenced in a specific document or source.
-
B.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
C.
marries
chosen
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
D.
marriageLocation
Indicates the place where a marriage ceremony or legal union between two people took place.
-
E.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.