Triple
T26133258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monas |
E659307
|
entity |
| Predicate | topDecorationWeight |
P160724
|
FINISHED |
| Object | approximately 14.5 tons |
—
|
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: approximately 14.5 tons | Statement: [Monas, topDecorationWeight, approximately 14.5 tons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topDecorationWeight Context triple: [Monas, topDecorationWeight, approximately 14.5 tons]
-
A.
highestDecorationOf
Indicates that one decoration or honor is the most prestigious or highest-ranking award received by a given entity.
-
B.
valorDecoration
Indicates that an entity has been awarded a decoration or honor specifically in recognition of acts of valor or bravery.
-
C.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
D.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
E.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b950b1881909accde0c8547369f |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 8:16 p.m.