Triple
T27554633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge University in The Boat Race |
E695598
|
entity |
| Predicate | firstAppearanceInCompetition |
P199261
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Cambridge University in The Boat Race, firstAppearanceInCompetition, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInCompetition Context triple: [Cambridge University in The Boat Race, firstAppearanceInCompetition, 19th century]
-
A.
firstInternationalAppearance
Indicates the event or time when an entity participates for the first time at an international level.
-
B.
firstUsedInTournament
Indicates that an entity (such as a move, strategy, or item) was used for the first time in a specific tournament.
-
C.
firstEditionOfCompetition
Indicates that a competition instance is the inaugural or very first edition of a particular recurring competition.
-
D.
firstKnownTournament
Indicates the earliest tournament in which the entity is known or recorded to have participated or appeared.
-
E.
debutInLeague
Indicates the league in which an entity (typically a player or team) made its first official appearance.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff29d831b881908d485609e0fc1d0b |
completed | May 9, 2026, 12:34 p.m. |
| PD | Predicate disambiguation | batch_69ff28f9f9e4819087f3402735de66c7 |
completed | May 9, 2026, 12:30 p.m. |
| PDg | Predicate description generation | batch_69ff29d77f48819085304ed5e92eb906 |
completed | May 9, 2026, 12:34 p.m. |
Created at: April 27, 2026, 1:36 p.m.