Triple
T34986104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excelsior class |
E1008949
|
entity |
| Predicate | gameAppearances |
P182172
|
FINISHED |
| Object | Star Trek Online |
—
|
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: Star Trek Online | Statement: [Excelsior class, gameAppearances, Star Trek Online]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameAppearances Context triple: [Excelsior class, gameAppearances, Star Trek Online]
-
A.
tournamentAppearances
Indicates the number of times an entity has participated in a particular tournament or competition.
-
B.
teamAppearances
Indicates the number of times an entity has participated in or been present as part of a particular team.
-
C.
leagueAppearances
Indicates the number of times an entity has participated in official league matches or competitions.
-
D.
sportNumberOfAppearances
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
E.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:01 p.m.