Triple
T1503628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandberg |
E33850
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
TAA
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
|
E171420
|
NE FINISHED |
How this triple was built (4 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, tickerSymbol, TAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAA Context triple: [Tandberg, tickerSymbol, TAA]
-
A.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
B.
TPA
TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
-
C.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
-
D.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
E.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TAA Triple: [Tandberg, tickerSymbol, TAA]
Generated description
TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAA Target entity description: TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
-
A.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
B.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
-
C.
TPA
TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
-
D.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
E.
TCA
TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
- F. None of above. chosen
Provenance (5 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872fae4c81908e7d6961e6c5fa96 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb578e4819082d254462e10e4f0 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d34656481909949b4bfd83c6142 |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1dd7b34c8190b6957be2112506dd |
completed | March 8, 2026, 6:57 a.m. |
Created at: March 4, 2026, 7:24 p.m.