Triple
T21909878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBIO |
E541031
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | DBIO |
—
|
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: DBIO | Statement: [DBIO, acronym, DBIO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DBIO Context triple: [DBIO, acronym, DBIO]
-
A.
DBIO
chosen
DBIO is the Division of Biological Physics within the American Physical Society, focusing on research at the interface of physics and the life sciences.
-
B.
ODB
ODB was the stage name of Ol' Dirty Bastard, a founding member of the Wu-Tang Clan known for his wild persona, distinctive vocal style, and influential role in 1990s hip-hop.
-
C.
DBO
DBO is the IATA airport code for Dubbo City Regional Airport, a regional aviation hub serving Dubbo and the surrounding area in New South Wales, Australia.
-
D.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
-
E.
SeeDB
SeeDB is a tissue-clearing method that uses high-concentration fructose solutions to render biological samples optically transparent while preserving their structural integrity for deep imaging.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d9796881909fc1454a7b61b8fe |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:40 p.m.