Triple
T7451190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Liège |
E172011
|
entity |
| Predicate | officeEstablishedInCentury |
P75981
|
FINISHED |
| Object | 8th 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: 8th century | Statement: [Bishop of Liège, officeEstablishedInCentury, 8th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEstablishedInCentury Context triple: [Bishop of Liège, officeEstablishedInCentury, 8th century]
-
A.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
B.
officeStartCentury
chosen
Indicates the century in which an entity’s period of holding office or official position began.
-
C.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
D.
incorporatedInCentury
Indicates that an entity (such as an organization or company) was formally incorporated during a specified century.
-
E.
acquiredInCentury
Indicates that one entity was acquired during a specific century represented by the other entity.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38c28e08190956766a5222fe720 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.