Triple
T4758503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rugby sevens |
E105644
|
entity |
| Predicate | firstKnownTournamentYear |
P58332
|
FINISHED |
| Object | 1883 |
—
|
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: 1883 | Statement: [rugby sevens, firstKnownTournamentYear, 1883]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownTournamentYear Context triple: [rugby sevens, firstKnownTournamentYear, 1883]
-
A.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
B.
firstYearPlayed
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
-
C.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
D.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
E.
firstPlayed
Indicates that one entity was the earliest or initial thing (such as a song, game, or media item) that another entity engaged with or played.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650c11f4819098cd1f490f711dc8 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:20 p.m.