Triple
T774277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1960 Winter Olympics |
E16352
|
entity |
| Predicate | hostSelectionYear |
P13803
|
FINISHED |
| Object | 1955 |
—
|
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: 1955 | Statement: [1960 Winter Olympics, hostSelectionYear, 1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostSelectionYear Context triple: [1960 Winter Olympics, hostSelectionYear, 1955]
-
A.
hostCitySelectionYear
chosen
Indicates the year in which a city was selected or designated to serve as the host for a particular event or activity.
-
B.
hostSelection
Indicates the choice or designation of a particular host from a set of possible hosts for a given purpose or interaction.
-
C.
hostedEventYear
Indicates the specific year in which an entity hosted a particular event.
-
D.
holderSelection
Indicates that a particular entity has been chosen or designated to serve as the holder of another entity or resource.
-
E.
yearType
Indicates the classification or category assigned to a specific year (e.g., academic, fiscal, calendar, leap).
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.