Triple
T32474437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Venosa |
E829930
|
entity |
| Predicate | tenureCentury |
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: [Lord of Venosa, tenureCentury, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureCentury Context triple: [Lord of Venosa, tenureCentury, 11th century]
-
A.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
B.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
C.
titleHeldInCentury
chosen
Indicates that a particular title was held or in effect during a specified century.
-
D.
grantedInCentury
Indicates that a grant, right, or privilege was conferred during a specified century.
-
E.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c3901bc48190aa60afcaf38c249b |
completed | May 3, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:58 a.m.