Triple
T1442575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Commonwealth Games |
E31106
|
entity |
| Predicate | hostCountryFirstTimeForCity |
P10414
|
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, hostCountryFirstTimeForCity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryFirstTimeForCity Context triple: [2018 Commonwealth Games, hostCountryFirstTimeForCity, yes]
-
A.
hasCoHostCity
Indicates that an event is jointly hosted or organized by the specified city alongside one or more other cities.
-
B.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
C.
hostNationality
Indicates the national affiliation or citizenship of the host in a given hosting relationship or context.
-
D.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
-
E.
firstTimeHostCity
chosen
Indicates that a city is serving as the host of an event for the first time.
- 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.