Triple
T31251393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Bishop of Speyer |
E796827
|
entity |
| Predicate | heldOfficeFromCentury |
P141851
|
FINISHED |
| Object | 11th 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: 11th century | Statement: [Prince-Bishop of Speyer, heldOfficeFromCentury, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldOfficeFromCentury Context triple: [Prince-Bishop of Speyer, heldOfficeFromCentury, 11th century]
-
A.
cameToPowerInCentury
Indicates that an entity assumed ruling authority or control during a specified century.
-
B.
servedInCentury
Indicates that an entity’s period of service or activity took place during a specified century.
-
C.
gainedElectoralStatusInCentury
Indicates that an entity obtained official electoral status or recognition during a specified century.
-
D.
inauguratedInCentury
Indicates that an entity’s inauguration or formal beginning took place during a specified century.
-
E.
titleHeldInCentury
chosen
Indicates that a particular title was held or in effect during a specified century.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:11 p.m.