Triple
T36676300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 NHL All-Star Game |
E905548
|
entity |
| Predicate | hostCityCountForTampa |
P14674
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2018 NHL All-Star Game, hostCityCountForTampa, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityCountForTampa Context triple: [2018 NHL All-Star Game, hostCityCountForTampa, 2]
-
A.
numberOfHostCities
chosen
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
B.
homeCityForMiami
Indicates that the subject city serves as the home city (primary or base city) for Miami in the specified relationship or context.
-
C.
hostCityCluster
Indicates that a city serves as a central or primary host location within a defined group or cluster of related events, activities, or entities.
-
D.
finalHostCity
Indicates the city that ultimately hosts or is selected to host a particular event or competition.
-
E.
usesMultipleHostCities
Indicates that an event or activity is held across more than one host city rather than being confined to a single location.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.