Triple
T25066332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference titles (NHL) |
E627792
|
entity |
| Predicate | roundsInclude |
P153404
|
FINISHED |
| Object | Second Round |
—
|
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: Second Round | Statement: [Western Conference titles (NHL), roundsInclude, Second Round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundsInclude Context triple: [Western Conference titles (NHL), roundsInclude, Second Round]
-
A.
includedRound
chosen
Indicates that a particular round is part of, or contained within, a larger set, sequence, or event of rounds.
-
B.
roundsStructure
Indicates that one entity defines or specifies the organization, sequence, or format of rounds within a process, event, or system.
-
C.
hasProperRounds
Indicates that an entity is associated with rounds that meet specified standards or criteria for being considered proper or valid.
-
D.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
E.
includedFifthRoundProper
Indicates that an entity was properly included or selected in the fifth round of a multi-round process or procedure.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f4599e14688190aa19833f62ffb283 |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:10 a.m.