Triple
T4922335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myth of Pandora |
E110493
|
entity |
| Predicate | originalContainerType |
P34427
|
FINISHED |
| Object | pithos (large storage jar) |
—
|
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: pithos (large storage jar) | Statement: [Myth of Pandora, originalContainerType, pithos (large storage jar)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalContainerType Context triple: [Myth of Pandora, originalContainerType, pithos (large storage jar)]
-
A.
containerType
chosen
Indicates the specific kind or category of container associated with or used to hold an entity.
-
B.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
originalStructureType
Indicates the type or category of the structure that an entity originally had before any changes or transformations.
-
D.
originalShipType
Indicates the type or category of ship that an entity was originally classified or built as.
-
E.
originalHolder
Indicates that an entity is the initial possessor or owner of another entity before any transfer, change, or reassignment occurs.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.