Triple
T1005087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Cross |
E21689
|
entity |
| Predicate | isHighestGallantryAwardFor |
P135
|
FINISHED |
| Object | civilians in the United Kingdom |
—
|
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: civilians in the United Kingdom | Statement: [George Cross, isHighestGallantryAwardFor, civilians in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHighestGallantryAwardFor Context triple: [George Cross, isHighestGallantryAwardFor, civilians in the United Kingdom]
-
A.
isOneOfHighestHonoursOf
Indicates that something ranks among the most prestigious or esteemed honors within a particular field, context, or system.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
D.
secondHighestCivilianAwardIn
Indicates that an entity is the second highest-ranking civilian award conferred within a specified country or jurisdiction.
-
E.
isTheHighestAwardOf
chosen
Indicates that one award is the most prestigious or top-ranking honor within a particular field, organization, or context.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.