Triple
T6693143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tʼway Air |
E152677
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
TW
TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
|
E610827
|
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: TW | Statement: [Tʼway Air, IATACode, TW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TW Context triple: [Tʼway Air, IATACode, TW]
-
A.
TW
TW is the former IATA airline designator for Trans World Airlines, a major historic American international carrier.
-
B.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
C.
TW
TW is the stock ticker symbol for Towers Watson, a global professional services firm specializing in risk management, insurance brokerage, and human resources consulting.
-
D.
TW
TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
-
E.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
- 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: TW Triple: [Tʼway Air, IATACode, TW]
Generated description
TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TW Target entity description: TW is the IATA airline designator assigned to T’way Air, a South Korean low-cost carrier.
-
A.
TW
TW is the two-letter ISO 3166 country code assigned to Taiwan (commonly referred to as Chinese Taipei in certain international contexts).
-
B.
TW
TW is a UK postcode area in southwest London and parts of Surrey, covering towns such as Twickenham and Staines-upon-Thames.
-
C.
TW
TW is the stock ticker symbol for Towers Watson, a global professional services firm specializing in risk management, insurance brokerage, and human resources consulting.
-
D.
TW
TW is the former IATA airline designator for Trans World Airlines, a major historic American international carrier.
-
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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b97210819086e88624c476fa24 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9729d7881908f3c396690ffcae8 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:05 p.m.