Triple
T9626861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Beach State Beach men's basketball team |
E232488
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | LBSU |
E467248
|
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: LBSU | Statement: [Long Beach State Beach men's basketball team, shortName, LBSU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBSU Context triple: [Long Beach State Beach men's basketball team, shortName, LBSU]
-
A.
LBSU
chosen
LBSU is the commonly used abbreviation for California State University, Long Beach, particularly in the context of its athletic programs.
-
B.
BSU
BSU is the National Rail station code for Brunstane railway station in Edinburgh, Scotland.
-
C.
BSU
BSU is the commonly used abbreviation for Belarusian State University, a major public research university in Minsk, Belarus.
-
D.
BSU
BSU is the vehicle registration code assigned to the municipality of Filipów in Poland.
-
E.
L&S
L&S is the College of Letters and Science at the University of Wisconsin–Madison, the university’s largest and broadest academic division encompassing the arts, humanities, social sciences, and natural sciences.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afc9144819084b208c3d04174ba |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1798129dc819090a29efcbcf34b8e |
completed | April 4, 2026, 8:50 p.m. |
Created at: March 30, 2026, 8:10 p.m.