Triple
T26978624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takayama Ukon |
E679529
|
entity |
| Predicate | lostLandsBecauseOf |
P90510
|
FINISHED |
| Object | refusal to abandon Christianity |
—
|
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: refusal to abandon Christianity | Statement: [Takayama Ukon, lostLandsBecauseOf, refusal to abandon Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostLandsBecauseOf Context triple: [Takayama Ukon, lostLandsBecauseOf, refusal to abandon Christianity]
-
A.
lostIn
Indicates that an entity has become unable to find its way or is no longer in control or possession within a particular place, situation, or context.
-
B.
lostTerritoryBy
chosen
Indicates that one entity has had control or ownership of a territory taken away by another entity.
-
C.
lostDuring
Indicates that something ceased to be in possession or was no longer retained while a particular event, process, or time period was occurring.
-
D.
lostWith
Indicates that one entity experienced a loss or defeat in conjunction with, or as part of the same side/team as, another entity.
-
E.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621548d9081908cd4540b909d01f6 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:44 a.m.