Triple
T25507711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redcrosse Knight |
E639289
|
entity |
| Predicate | bearsSymbol |
P158608
|
FINISHED |
| Object | red cross on a silver shield |
—
|
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: red cross on a silver shield | Statement: [Redcrosse Knight, bearsSymbol, red cross on a silver shield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearsSymbol Context triple: [Redcrosse Knight, bearsSymbol, red cross on a silver shield]
-
A.
bears
Indicates that one entity carries, supports, or endures the weight, burden, or responsibility of another entity or condition.
-
B.
isBear
Indicates that the subject is classified as a bear.
-
C.
BearsSeed
Indicates that an entity produces or carries seeds as a result of its reproductive process.
-
D.
onlyNativeBearOf
Indicates that one entity is the sole bear species naturally occurring in the specified geographic region or habitat.
-
E.
animalSymbol
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f80749f88190a5c2a70e7370003b |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:47 p.m.