Triple
T23284222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven-Card Stud |
E588944
|
entity |
| Predicate | firstActionOnThirdStreet |
P87911
|
FINISHED |
| Object | player with lowest upcard |
—
|
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: player with lowest upcard | Statement: [Seven-Card Stud, firstActionOnThirdStreet, player with lowest upcard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstActionOnThirdStreet Context triple: [Seven-Card Stud, firstActionOnThirdStreet, player with lowest upcard]
-
A.
initialAction
chosen
Indicates the first or starting action taken in a sequence of actions or events.
-
B.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to another entity.
-
C.
firstDriveBy
Indicates that one entity is experiencing or performing a drive-by (such as a first drive-by visit, viewing, or attack) involving another entity for the first time.
-
D.
openedAsGrandAvenue
Indicates that something began operation or was inaugurated under the name "Grand Avenue."
-
E.
hasCentralStreet
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:58 p.m.