Triple
T33469437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Lithuanian SSR |
E857144
|
entity |
| Predicate | positionOfRibbon |
P78543
|
FINISHED |
| Object | around wheat ears |
—
|
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: around wheat ears | Statement: [Coat of arms of the Lithuanian SSR, positionOfRibbon, around wheat ears]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfRibbon Context triple: [Coat of arms of the Lithuanian SSR, positionOfRibbon, around wheat ears]
-
A.
ribbonPosition
chosen
Indicates the spatial or ordered placement of a ribbon relative to a reference object or coordinate system.
-
B.
positionInWreath
Indicates the specific location or ordering of an element within a circular wreath arrangement.
-
C.
indicatesOnRibbon
Indicates that one entity is displayed or marked on a ribbon associated with another entity.
-
D.
positionOnOrnament
Indicates the spatial placement or location of something on a decorative ornament.
-
E.
ribbonType
Indicates the specific kind or category of ribbon associated with an 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:37 a.m.