Triple
T10611519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagan |
E276018
|
entity |
| Predicate | capitalToCentury |
P17922
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [Pagan, capitalToCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalToCentury Context triple: [Pagan, capitalToCentury, 13th century]
-
A.
capitalDuringEra
chosen
Indicates that a city or settlement served as the capital of a political entity during a specified historical era or time period.
-
B.
capitalDuringExistence
Indicates that a specified place served as the capital of an entity for some or all of the time that entity existed.
-
C.
capitalFromYear
Indicates that a location serves as the capital of a political or administrative entity starting from a specified year.
-
D.
centuryOfWork
Indicates the century during which a particular work, activity, or contribution primarily took place.
-
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.