Triple
T5347708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Guelphs |
E124095
|
entity |
| Predicate | timeOfDefeat |
P30917
|
FINISHED |
| Object | early 14th 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 14th century | Statement: [White Guelphs, timeOfDefeat, early 14th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDefeat Context triple: [White Guelphs, timeOfDefeat, early 14th century]
-
A.
dateOfMajorDefeat
Indicates the specific date on which an entity experienced a significant or decisive defeat.
-
B.
finalDefeatDate
chosen
Indicates the date on which an entity was ultimately and conclusively defeated.
-
C.
significantDefeat
Indicates that one entity has decisively and substantially defeated another, implying a clear and impactful victory rather than a narrow or marginal one.
-
D.
defeatedBy
Indicates that one entity has been beaten, overcome, or conquered by another in a contest, conflict, or competition.
-
E.
wasBeaten
Indicates that one entity defeated or physically overpowered another in a contest, conflict, or confrontation.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ef75148190815461c2a49302e9 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.