Triple
T1442576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Commonwealth Games |
E31106
|
entity |
| Predicate | hostCityFirstTimeHostingCommonwealthGames |
P23587
|
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: [2018 Commonwealth Games, hostCityFirstTimeHostingCommonwealthGames, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityFirstTimeHostingCommonwealthGames Context triple: [2018 Commonwealth Games, hostCityFirstTimeHostingCommonwealthGames, yes]
-
A.
firstHeldAsCommonwealthGames
Indicates the event or location where something was initially hosted as part of the Commonwealth Games.
-
B.
inauguralHostCity
chosen
Indicates the city that first hosted a particular event, competition, or series.
-
C.
previousHostCity
Indicates that one city served as the immediately preceding host city relative to another in a sequence of hosting events.
-
D.
hostCityPreviousOlympicsInCity
Indicates that the city served as the host city for a previous edition of the Olympic Games held in that same city.
-
E.
rotatingHostCity
Indicates that the role of host city changes periodically among different cities according to a rotation schedule.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55714588190a95b4f677c21cbaa |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.