Triple
T266560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Star Game 2020 |
E5742
|
entity |
| Predicate | conferenceFormat |
P8913
|
FINISHED |
| Object | Team LeBron vs. Team Giannis |
—
|
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: Team LeBron vs. Team Giannis | Statement: [NBA All-Star Game 2020, conferenceFormat, Team LeBron vs. Team Giannis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceFormat Context triple: [NBA All-Star Game 2020, conferenceFormat, Team LeBron vs. Team Giannis]
-
A.
conferenceType
Indicates the specific category or kind of conference associated with an entity (e.g., workshop, symposium, seminar).
-
B.
conferenceStructure
Indicates how a conference is organized into its constituent parts, such as sessions, tracks, and events, and the relationships among them.
-
C.
conference2
Indicates that one entity is a conference or event that is associated with, hosted by, or otherwise related to another entity.
-
D.
conference1
Indicates a relationship where an entity is associated with, participates in, or is characterized as a specific conference event or instance.
-
E.
conference
Indicates that an entity organizes, hosts, or is associated with a formal meeting or event where participants gather to discuss specific topics or share information.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d90bab48190b3ef97a451653b7f |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c8ae480819094f6d1bb0a6d2eb2 |
completed | Feb. 28, 2026, 3:10 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.