Triple
T13375668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Brown Jug |
E319176
|
entity |
| Predicate | homeTeamWhenInPossession |
P109670
|
FINISHED |
| Object | displays trophy on campus |
—
|
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: displays trophy on campus | Statement: [Little Brown Jug, homeTeamWhenInPossession, displays trophy on campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamWhenInPossession Context triple: [Little Brown Jug, homeTeamWhenInPossession, displays trophy on campus]
-
A.
pointsHomeTeam
Indicates the number of points scored or accumulated by the home team in a game or match.
-
B.
homeTeam
Indicates that one entity is designated as the home team in a game, match, or sporting event involving another entity.
-
C.
ownedTeamHomeState
Indicates that the owning entity’s home or primary location is in the same state as the team’s home state.
-
D.
locationTeam2Home
Indicates that the specified location serves as the home venue or home ground for the second team involved in the context.
-
E.
goalsHomeTeam
Indicates the number of goals scored by the home team in a match.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce3fec48190a5443d87c85477a3 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:33 p.m.