Triple
T678507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George M. Steinbrenner Field |
E13129
|
entity |
| Predicate | hasClubhouses |
P17431
|
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: [George M. Steinbrenner Field, hasClubhouses, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubhouses Context triple: [George M. Steinbrenner Field, hasClubhouses, yes]
-
A.
hasCommunitySpace
Indicates that an entity provides or includes a shared physical or virtual area intended for communal use, activities, or gatherings.
-
B.
hasClubInCountry
Indicates that a club is located in, based in, or operates within a specified country.
-
C.
hasCommunityLink
Indicates that there exists an established connection or association between an entity and a community.
-
D.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
E.
hasDiaspora
Indicates that a group, community, or population has members who have dispersed or settled outside their original homeland or region.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.