Triple
T1765026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noi Bai International Airport |
E38742
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HAN
HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
|
E197409
|
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: HAN | Statement: [Noi Bai International Airport, IATAcode, HAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAN Context triple: [Noi Bai International Airport, IATAcode, HAN]
-
A.
HAN
HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
-
B.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
-
C.
Former Han
Former Han refers to the earlier, Western phase of China’s Han dynasty, spanning from 206 BCE to 9 CE and noted for consolidating imperial rule and expanding Chinese territory.
-
D.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
-
E.
HON
HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
- 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: HAN Triple: [Noi Bai International Airport, IATAcode, HAN]
Generated description
HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAN Target entity description: HAN is the IATA airport code for Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
-
A.
HAN
HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
-
B.
Hahn
Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
-
C.
Former Han
Former Han refers to the earlier, Western phase of China’s Han dynasty, spanning from 206 BCE to 9 CE and noted for consolidating imperial rule and expanding Chinese territory.
-
D.
Hwaci
Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
-
E.
HON
HON is the stock ticker symbol for Honeywell International Inc., a major American multinational conglomerate specializing in aerospace, building technologies, performance materials, and safety solutions.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6467c3f08190abc8a06269ede908 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0f37a28819086c35c9f7a07dea9 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada4da6a988190847452139e1c210d |
completed | March 8, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada55d96b88190a4a5c6973d69592d |
completed | March 8, 2026, 4:35 p.m. |
Created at: March 4, 2026, 7:31 p.m.