Triple
T11177680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Malta |
E264453
|
entity |
| Predicate | GeorgeCrossAwardedInYear |
P98283
|
FINISHED |
| Object | 1942 |
—
|
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: 1942 | Statement: [Flag of Malta, GeorgeCrossAwardedInYear, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GeorgeCrossAwardedInYear Context triple: [Flag of Malta, GeorgeCrossAwardedInYear, 1942]
-
A.
hasVictoriaCrossRecipient
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
B.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
-
C.
wasKnightedOn
Indicates that an entity received a knighthood on a specific date or occasion.
-
D.
highestCivilianAward
Indicates that one entity is recognized as the most prestigious civilian honor conferred by another entity.
-
E.
isHighestPeacetimeGallantryAwardOf
Indicates that one award is the supreme or most prestigious gallantry decoration conferred during peacetime within the context of a given country, organization, or system.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.