Triple
T5865179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovetown Tour |
E130375
|
entity |
| Predicate | tourNumberInCareer |
P67560
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Lovetown Tour, tourNumberInCareer, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourNumberInCareer Context triple: [Lovetown Tour, tourNumberInCareer, 4]
-
A.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
B.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
C.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
D.
voyagesCompleted
Indicates that an entity has successfully finished one or more journeys or trips from departure to return.
-
E.
isFrequentlyPerformedOnTourBy
Indicates that an action or piece (such as a song, routine, or performance) is regularly and commonly carried out by an entity while they are on tour.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:56 p.m.