Triple
T1519000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Braves spring training (former) |
E32182
|
entity |
| Predicate | fanAccess |
P30084
|
FINISHED |
| Object | open to public for many exhibition games |
—
|
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: open to public for many exhibition games | Statement: [Atlanta Braves spring training (former), fanAccess, open to public for many exhibition games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanAccess Context triple: [Atlanta Braves spring training (former), fanAccess, open to public for many exhibition games]
-
A.
fanBase
Indicates that one entity is the group of admirers or supporters devoted to another entity.
-
B.
fanBelief
Indicates that a fan holds a particular belief, opinion, or conviction about someone or something.
-
C.
fanbaseCharacteristic
Indicates a characteristic, trait, or common quality that typically describes or distinguishes the fanbase of an entity.
-
D.
fanAttendance
Indicates the number or presence of fans attending an event, such as a game, show, or performance.
-
E.
fanBaseScope
Indicates the extent or range of people who are considered fans or followers of an entity.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.