Triple
T2940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Boston |
E54
|
entity |
| Predicate | containsSportsTeam |
P346
|
FINISHED |
| Object | Boston Celtics |
E154
|
NE 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: Boston Celtics | Statement: [Greater Boston, containsSportsTeam, Boston Celtics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston Celtics Context triple: [Greater Boston, containsSportsTeam, Boston Celtics]
-
A.
Boston Celtics
chosen
The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
-
B.
Brooklyn Nets
The Brooklyn Nets are a professional basketball team in the NBA based in the borough of Brooklyn.
-
C.
New York Knicks
The New York Knicks are a professional basketball team based in New York City that competes in the NBA’s Eastern Conference and plays its home games at Madison Square Garden.
-
D.
Boston Bruins
The Boston Bruins are a professional ice hockey team in the National Hockey League (NHL) and one of the league’s Original Six franchises.
-
E.
Washington Wizards
The Washington Wizards are a professional basketball team in the NBA known for representing the U.S. capital city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2328f0e848190ac2840eaf2d5ebd2 |
completed | Feb. 28, 2026, 12:10 a.m. |
| NER | Named-entity recognition | batch_69a234ccbac88190921bd0a15e4a7dbe |
completed | Feb. 28, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248d31b848190bad943bca271fca0 |
completed | Feb. 28, 2026, 1:45 a.m. |
Created at: Feb. 28, 2026, 12:13 a.m.