Triple
T2183297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busch Stadium |
E49093
|
entity |
| Predicate | hasStatues |
P1646
|
FINISHED |
| Object | statues of Cardinals legends |
—
|
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: statues of Cardinals legends | Statement: [Busch Stadium, hasStatues, statues of Cardinals legends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatues Context triple: [Busch Stadium, hasStatues, statues of Cardinals legends]
-
A.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
B.
hasStatueOrigin
Indicates that a statue was created in, derived from, or originally located in a specified place or source.
-
C.
hasStatueNickname
Indicates that an entity (typically a statue) is known or referred to by a particular nickname.
-
D.
statuePolicy
Indicates a policy or set of rules governing the creation, placement, maintenance, or treatment of statues.
-
E.
statueName
Indicates that a statue has a specific name or title associated with it.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.