Triple
T28121824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Lewisohn |
E710812
|
entity |
| Predicate | LewisohnStadiumCity |
P164398
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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: New York City | Statement: [Adolph Lewisohn, LewisohnStadiumCity, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LewisohnStadiumCity Context triple: [Adolph Lewisohn, LewisohnStadiumCity, New York City]
-
A.
homeStadiumSituatedOn
Indicates that a team's home stadium is physically located on or within the grounds of a specified site or area.
-
B.
stadiumUsedFor
Indicates that a particular stadium is used for a specific activity, event, or purpose.
-
C.
homeStadiumEngland
Indicates that the specified stadium serves as the home venue for an England national team or English representative side.
-
D.
locatedAtStadiumOfClub
Indicates that something is situated in the stadium that belongs to or is used by a particular sports club.
-
E.
leftStadium
Indicates that an entity has departed from or exited a stadium.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 9:17 p.m.