Triple
T17108806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunhuang Mogao International Airport |
E415170
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DNH
DNH is the IATA airport code for Dunhuang Mogao International Airport, serving the Dunhuang region in Gansu, China.
|
E1250528
|
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: DNH | Statement: [Dunhuang Mogao International Airport, IATAcode, DNH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNH Context triple: [Dunhuang Mogao International Airport, IATAcode, DNH]
-
A.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
D.N.H.
D.N.H. is the standard legal abbreviation for the United States District Court for the District of New Hampshire, a federal trial court within the First Circuit.
-
D.
DN2H
DN2H is a national road in Romania that serves as a regional connector in the Rădăuți area of Suceava County.
-
E.
HNH
HNH is the National Rail station code for Herne Hill railway station in south London, England.
- 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: DNH Triple: [Dunhuang Mogao International Airport, IATAcode, DNH]
Generated description
DNH is the IATA airport code for Dunhuang Mogao International Airport, serving the Dunhuang region in Gansu, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DNH Target entity description: DNH is the IATA airport code for Dunhuang Mogao International Airport, serving the Dunhuang region in Gansu, China.
-
A.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
D.N.H.
D.N.H. is the standard legal abbreviation for the United States District Court for the District of New Hampshire, a federal trial court within the First Circuit.
-
D.
DN2H
DN2H is a national road in Romania that serves as a regional connector in the Rădăuți area of Suceava County.
-
E.
HNH
HNH is the National Rail station code for Herne Hill railway station in south London, England.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2906a081909d0d43cf04319f52 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a03e2e48190a0b631dd8f6f8a24 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:35 a.m.