Triple
T31128267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | giant slalom at the 1952 Winter Olympics |
E793418
|
entity |
| Predicate | hostNationGold |
P171176
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [giant slalom at the 1952 Winter Olympics, hostNationGold, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostNationGold Context triple: [giant slalom at the 1952 Winter Olympics, hostNationGold, yes]
-
A.
hostNationCapital
Indicates that a city serves as the capital of a particular host nation.
-
B.
hostNationBase
Indicates that one nation serves as the host country for a military or strategic base belonging to another entity.
-
C.
hostNationSince1977
Indicates that the referenced nation has served as the host country continuously since the year 1977.
-
D.
hostNationRuler
Indicates that one entity serves as the ruling authority or leader of the nation in which the other entity is located or hosted.
-
E.
hostNationRole
Indicates the role or capacity in which a nation serves as the host in a particular event, activity, or context.
- F. None of above. chosen
Provenance (4 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:05 p.m.