Triple
T35556830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Lakers vs. Boston Celtics |
E1027520
|
entity |
| Predicate | team2Arena |
P183241
|
FINISHED |
| Object | TD Garden |
—
|
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: TD Garden | Statement: [Los Angeles Lakers vs. Boston Celtics, team2Arena, TD Garden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team2Arena Context triple: [Los Angeles Lakers vs. Boston Celtics, team2Arena, TD Garden]
-
A.
team2ArenaCity
Indicates the city where the second team’s home arena is located.
-
B.
teamArenaControlled
Indicates that a particular team has control or ownership over a specified arena or battleground.
-
C.
team2
Indicates that the second team involved in a competitive or collaborative context is associated with a given entity or event.
-
D.
team2State
Indicates the current status or condition of the second team in a given context or event.
-
E.
team2Wins
Indicates that the second team is the winner in a given game, match, or competition.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.