Triple
T1442577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Commonwealth Games |
E31106
|
entity |
| Predicate | hostCountryNumberOfTimesHostedCommonwealthGames |
P28658
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [2018 Commonwealth Games, hostCountryNumberOfTimesHostedCommonwealthGames, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryNumberOfTimesHostedCommonwealthGames Context triple: [2018 Commonwealth Games, hostCountryNumberOfTimesHostedCommonwealthGames, 5]
-
A.
firstHeldAsCommonwealthGames
Indicates the event or location where something was initially hosted as part of the Commonwealth Games.
-
B.
hostCityNumberOfTimesHostedSummerGames
Indicates how many times a particular city has hosted the Summer Olympic Games.
-
C.
totalMedalsWonByHostNation
Indicates the total number of medals earned by the country hosting a particular sporting event or competition.
-
D.
olympicHostCountry
Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
-
E.
olympicHostState
Indicates that a state served as the official host location for a particular edition of the Olympic Games.
- 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_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. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.