Triple
T19956329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel at the Olympics |
E479692
|
entity |
| Predicate | firstOlympicMedalType |
P26560
|
FINISHED |
| Object | silver |
—
|
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: silver | Statement: [Israel at the Olympics, firstOlympicMedalType, silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOlympicMedalType Context triple: [Israel at the Olympics, firstOlympicMedalType, silver]
-
A.
typeOfMedalEvent
Indicates the specific medal category (e.g., gold, silver, bronze) associated with a particular event.
-
B.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
C.
firstHeldAsOfficialMedalSport
Indicates the event or discipline at which a sport was first included as an official medal-awarding competition.
-
D.
medalType
chosen
Indicates the specific category or class of a medal associated with an award or achievement.
-
E.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af08e008190a3a1b807b638a99e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.