Triple
T7428257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandberg |
E171420
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object | TAA |
E171420
|
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: TAA | Statement: [Tandberg, stockTicker, TAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAA Context triple: [Tandberg, stockTicker, TAA]
-
A.
TAA
chosen
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
B.
Taa
Taa, also known as ǃXóõ, is a highly complex Khoisan language of southern Africa noted for having one of the largest consonant inventories and extensive use of click sounds.
-
C.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
D.
TTA
TTA is the IATA airport code for Raleigh Executive Jetport, a general aviation airport serving the Raleigh, North Carolina area.
-
E.
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.