Triple
T38477004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IX |
E915574
|
entity |
| Predicate | roundSystem |
P69430
|
FINISHED |
| Object | wave-based rounds |
—
|
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: wave-based rounds | Statement: [IX, roundSystem, wave-based rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundSystem Context triple: [IX, roundSystem, wave-based rounds]
-
A.
roundOf
Indicates that one event, match, or game occurs as a specific stage or phase within a larger competition or tournament.
-
B.
round
Indicates that an entity has a circular or approximately circular shape or form.
-
C.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
D.
roundTransformation
Indicates a transformation process that occurs in discrete rounds or stages, where each round converts an input state into a new output state.
-
E.
roundFormat
chosen
Indicates the specific structure, rules, or style in which a particular round of an event, game, or process is conducted.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.