Triple
T1123441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panathenaia |
E24662
|
entity |
| Predicate | prizesIncluded |
P13061
|
FINISHED |
| Object | Panathenaic amphorae filled with 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: Panathenaic amphorae filled with olive oil | Statement: [Panathenaia, prizesIncluded, Panathenaic amphorae filled with olive oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prizesIncluded Context triple: [Panathenaia, prizesIncluded, Panathenaic amphorae filled with olive oil]
-
A.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
B.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
-
C.
awardIncludes
chosen
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
D.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
-
E.
includesMedal
Indicates that an entity’s set, collection, or record contains or features a particular medal as one of its elements.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.