Triple
T9119849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Earl of Selborne |
E218816
|
entity |
| Predicate | linkedToPeriod |
P4343
|
FINISHED |
| Object | early 20th 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: early 20th century | Statement: [The Earl of Selborne, linkedToPeriod, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToPeriod Context triple: [The Earl of Selborne, linkedToPeriod, early 20th century]
-
A.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
B.
associatedPeriodEnd
Indicates the ending point or final date of the time period with which something is associated.
-
C.
linkedToDate
Indicates that an entity is associated or connected to a specific date or point in time.
-
D.
continuedIntoPeriod
Indicates that an action, state, or relationship that began earlier persisted without interruption into a specified later time period.
-
E.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.