Triple
T16891543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XIII Olympic Winter Games |
E424183
|
entity |
| Predicate | hostCityRepeat |
P12478
|
FINISHED |
| Object | second time Lake Placid hosted Winter Olympics |
—
|
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: second time Lake Placid hosted Winter Olympics | Statement: [XIII Olympic Winter Games, hostCityRepeat, second time Lake Placid hosted Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityRepeat Context triple: [XIII Olympic Winter Games, hostCityRepeat, second time Lake Placid hosted Winter Olympics]
-
A.
hostCityOfEvent
Indicates that a city serves as the location where a particular event is held or takes place.
-
B.
rotatingHostCity
Indicates that the role of host city changes periodically among different cities according to a rotation schedule.
-
C.
longtimeHostCity
Indicates that a city has hosted a particular event or activity repeatedly over an extended period of time.
-
D.
lastHostCity
Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
-
E.
cityHostedAgain
chosen
Indicates that a city has hosted a particular event on more than one occasion, including the current instance.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc5a5308190937ebd05356bd91d |
completed | April 18, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.