Triple
T5197443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BTAA |
E117306
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | BTAA |
E117306
|
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: BTAA | Statement: [BTAA, abbreviation, BTAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTAA Context triple: [BTAA, abbreviation, BTAA]
-
A.
BTAA
chosen
BTAA is a consortium of research-intensive universities in the Big Ten Conference that collaborates on academic, research, and library initiatives.
-
B.
BAA
BAA is the acronym for the Basketball Association of America, the professional basketball league that later merged to form today’s National Basketball Association (NBA).
-
C.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
D.
EBA
EBA is the European Union’s regulatory agency responsible for overseeing and harmonizing banking supervision and ensuring financial stability across member states.
-
E.
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a1dbf7881909ed596ffdd1219bb |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09d84f08190b8270394fc35e195 |
completed | March 21, 2026, 6:17 p.m. |
Created at: March 20, 2026, 1:46 p.m.