Triple
T4949003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bank |
E111121
|
entity |
| Predicate | openedAsNicknameAfter |
P63
|
FINISHED |
| Object | opening of Citizens Bank Park in 2004 |
—
|
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: opening of Citizens Bank Park in 2004 | Statement: [The Bank, openedAsNicknameAfter, opening of Citizens Bank Park in 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsNicknameAfter Context triple: [The Bank, openedAsNicknameAfter, opening of Citizens Bank Park in 2004]
-
A.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
B.
openedAfter
Indicates that one entity was opened at a later time than another entity.
-
C.
namedAfter
chosen
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
D.
openedBefore
Indicates that one entity was opened at an earlier time than another entity.
-
E.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.