Triple
T33494483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Nila Utama |
E857829
|
entity |
| Predicate | oneOfHighestHonoursIn |
P18549
|
FINISHED |
| Object | Singapore |
—
|
NE NERFINISHED |
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: Singapore | Statement: [Order of Nila Utama, oneOfHighestHonoursIn, Singapore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfHighestHonoursIn Context triple: [Order of Nila Utama, oneOfHighestHonoursIn, Singapore]
-
A.
isOneOfHighestHonoursOf
chosen
Indicates that something ranks among the most prestigious or esteemed honors within a particular field, context, or system.
-
B.
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.
-
C.
highestMilitaryDecoration
Indicates that the object is the most prestigious military award or honor that has been conferred upon the subject.
-
D.
honoursCivilianService
Indicates recognition or commemoration of an individual's non-military contributions or service to society.
-
E.
highestCivilianAward
Indicates that one entity is recognized as the most prestigious civilian honor conferred by another entity.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e56a6a488190aaf731ce3d097505 |
completed | May 3, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:38 a.m.