Triple
T4268592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laureate Cross of Saint Ferdinand |
E96884
|
entity |
| Predicate | highestAwardFor |
P135
|
FINISHED |
| Object | military valor in Spain |
—
|
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: military valor in Spain | Statement: [Laureate Cross of Saint Ferdinand, highestAwardFor, military valor in Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestAwardFor Context triple: [Laureate Cross of Saint Ferdinand, highestAwardFor, military valor in Spain]
-
A.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
B.
isTheHighestAwardOf
chosen
Indicates that one award is the most prestigious or top-ranking honor within a particular field, organization, or context.
-
C.
awardName
Indicates the specific name or title of an award associated with an entity.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.