Triple
T6224871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cell |
E139204
|
entity |
| Predicate | nicknameUsedDuring |
P13305
|
FINISHED |
| Object | U.S. Cellular Field naming era |
—
|
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: U.S. Cellular Field naming era | Statement: [The Cell, nicknameUsedDuring, U.S. Cellular Field naming era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameUsedDuring Context triple: [The Cell, nicknameUsedDuring, U.S. Cellular Field naming era]
-
A.
nameUsedFor
Indicates that a particular name is used to refer to or designate a given entity.
-
B.
nameUsedIn
chosen
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
D.
usedAsNicknameSince
Indicates that one entity has been used as a nickname for another entity starting from a specified point in time.
-
E.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c214c48190b94e7f904e2bf699 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:22 p.m.