Triple
T17129942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panathenaic amphora |
E415693
|
entity |
| Predicate | primaryContents |
P4446
|
FINISHED |
| Object | olive oil |
—
|
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: olive oil | Statement: [Panathenaic amphora, primaryContents, olive oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryContents Context triple: [Panathenaic amphora, primaryContents, olive oil]
-
A.
primaryContent
chosen
Indicates that one entity serves as the main or most important content associated with another entity.
-
B.
primaryContentRegion
Indicates the main area or section where the most important or central content is located or presented.
-
C.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
D.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
E.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0291ee881908fb10a8ccd7faa41 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.