Triple
T11177679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Malta |
E264453
|
entity |
| Predicate | GeorgeCrossAwardedTo |
P66869
|
FINISHED |
| Object | people of Malta |
—
|
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: people of Malta | Statement: [Flag of Malta, GeorgeCrossAwardedTo, people of Malta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GeorgeCrossAwardedTo Context triple: [Flag of Malta, GeorgeCrossAwardedTo, people of Malta]
-
A.
hasVictoriaCrossRecipient
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
B.
commanderOfRAF
Indicates that one entity serves as the commander or head of the Royal Air Force in relation to another entity.
-
C.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
-
D.
knownInBritishServiceAs
Indicates that an entity is referred to or recognized by a particular name or designation specifically within the context of British service.
-
E.
isHighestPeacetimeGallantryAwardOf
chosen
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.
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_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. |
Created at: April 8, 2026, 9:29 p.m.