Triple
T10707902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Nassau-Siegen |
E252453
|
entity |
| Predicate | usedTitleFrom |
P95588
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [House of Nassau-Siegen, usedTitleFrom, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTitleFrom Context triple: [House of Nassau-Siegen, usedTitleFrom, 17th century]
-
A.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
B.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
usedAsTitleUntil
Indicates that a particular title was held or used by an entity up to (and including or until) a specified end time.
-
D.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
E.
usedAsTitleInFull
Indicates that something functions as a formal title within the complete, official version of a name or designation.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fde080d48190830eaa863aad61ff |
completed | April 9, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:13 p.m.