Triple
T3214491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiz Kids |
E67356
|
entity |
| Predicate | subsequentLegacy |
P267
|
FINISHED |
| Object | one of the most celebrated teams in Phillies history |
—
|
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: one of the most celebrated teams in Phillies history | Statement: [Whiz Kids, subsequentLegacy, one of the most celebrated teams in Phillies history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentLegacy Context triple: [Whiz Kids, subsequentLegacy, one of the most celebrated teams in Phillies history]
-
A.
subsequentHistory
Indicates that one event, state, or record occurs or is recorded after another in time, reflecting its later historical development or outcome.
-
B.
hasLegacy
chosen
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
C.
subsequentUse
Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
-
D.
subsequentArchitect
Indicates that one architect comes after another in a temporal or sequential order, such as in a series of design or construction roles.
-
E.
hasPartInLegacy
Indicates that an entity includes another entity as a component or constituent specifically within its legacy or historically inherited structure.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.