Triple
T17925579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Class Order of Liberation |
E448185
|
entity |
| Predicate | isStateDecoration |
P129741
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [First Class Order of Liberation, isStateDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStateDecoration Context triple: [First Class Order of Liberation, isStateDecoration, true]
-
A.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
B.
containsDecorationFrom
Indicates that one entity includes or incorporates a decorative element that originates from another entity.
-
C.
isStateFlagOf
Indicates that one entity is the official state flag representing the specified state or region.
-
D.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
E.
confersIndividualDecoration
Indicates that an individual is formally awarded a specific decoration, honor, or medal.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54e03588190b36a9bb88e4085de |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:20 a.m.