Triple
T675796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1896 Summer Olympics |
E13073
|
entity |
| Predicate | originalSecondPrize |
P735
|
FINISHED |
| Object | copper medal and laurel branch |
—
|
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: copper medal and laurel branch | Statement: [1896 Summer Olympics, originalSecondPrize, copper medal and laurel branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSecondPrize Context triple: [1896 Summer Olympics, originalSecondPrize, copper medal and laurel branch]
-
A.
thirdPlacePrize
Indicates that an entity receives or is associated with the prize awarded for finishing in third place in a competition or ranking.
-
B.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
-
C.
prizeType
chosen
Indicates the specific category or kind of prize associated with an entity or event.
-
D.
isSecondHighest
Indicates that one entity ranks immediately below the highest-ranked entity within a specified ordering or set.
-
E.
secondRoundWinner
Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.