Triple
T3216939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archbishop of Cologne |
E67419
|
entity |
| Predicate | gainedElectoralStatusInCentury |
P46277
|
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: [Archbishop of Cologne, gainedElectoralStatusInCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedElectoralStatusInCentury Context triple: [Archbishop of Cologne, gainedElectoralStatusInCentury, 13th century]
-
A.
awardedSinceCentury
Indicates that an award has been given starting from a specified century onward.
-
B.
celebratedSinceCentury
Indicates that a celebration, commemoration, or observance of something has been taking place continuously since a specified century.
-
C.
numberOfTimesElectedGeneral
Indicates the number of times an entity has been elected to the position of general.
-
D.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
-
E.
hasCenturyOfPersonCommemorated
Indicates the century in which the person being commemorated lived or was active.
- F. None of above. chosen
Provenance (4 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0ae494819093d39c367facde27 |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.