Triple
T6981710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trondheim Airport, Værnes |
E161861
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
TRD
TRD is the IATA airport code for Trondheim Airport, Værnes, the main international airport serving Trondheim, Norway.
|
E632522
|
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: TRD | Statement: [Trondheim Airport, Værnes, hasIATAcode, TRD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRD Context triple: [Trondheim Airport, Værnes, hasIATAcode, TRD]
-
A.
TRD Pro
TRD Pro is an off-road-focused performance trim level offered by Toyota, featuring enhanced suspension, rugged styling, and specialized equipment for improved capability on rough terrain.
-
B.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
C.
TRC
TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
-
D.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
-
E.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
- 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: TRD Triple: [Trondheim Airport, Værnes, hasIATAcode, TRD]
Generated description
TRD is the IATA airport code for Trondheim Airport, Værnes, the main international airport serving Trondheim, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRD Target entity description: TRD is the IATA airport code for Trondheim Airport, Værnes, the main international airport serving Trondheim, Norway.
-
A.
TRD Pro
TRD Pro is an off-road-focused performance trim level offered by Toyota, featuring enhanced suspension, rugged styling, and specialized equipment for improved capability on rough terrain.
-
B.
TRC
TRC is the premier annual international rugby union competition in the Southern Hemisphere, contested by Argentina, Australia, New Zealand, and South Africa.
-
C.
TRC
TRC is the commonly used acronym for South Africa’s Truth and Reconciliation Commission, a post-apartheid body established to investigate human rights abuses and promote national healing.
-
D.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
-
E.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c0ecd88190a684392aa6daf267 |
completed | March 28, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69c76275a5f08190b71a59694ef4a1fd |
completed | March 28, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c762ee1a048190ada3e6fd850e468b |
completed | March 28, 2026, 5:11 a.m. |
Created at: March 27, 2026, 2:31 p.m.