Triple
T2251141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong International Airport |
E49618
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VHHH
VHHH is the ICAO airport code for Hong Kong International Airport, a major global aviation hub located on Chek Lap Kok Island in Hong Kong.
|
E246646
|
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: VHHH | Statement: [Hong Kong International Airport, ICAOcode, VHHH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VHHH Context triple: [Hong Kong International Airport, ICAOcode, VHHH]
-
A.
HHM
HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
C.
HH
HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
-
D.
HDH
HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
-
E.
CHH
CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
- 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: VHHH Triple: [Hong Kong International Airport, ICAOcode, VHHH]
Generated description
VHHH is the ICAO airport code for Hong Kong International Airport, a major global aviation hub located on Chek Lap Kok Island in Hong Kong.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VHHH Target entity description: VHHH is the ICAO airport code for Hong Kong International Airport, a major global aviation hub located on Chek Lap Kok Island in Hong Kong.
-
A.
HHM
HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
C.
HH
HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
-
D.
HDH
HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
-
E.
CHH
CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc11d04688190abc04fac3a1804a9 |
completed | March 7, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1bc424819087b2ce9a6256a180 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6be0d108819085cf8c531d08db65 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c0fc220819090b254cc20b1bc26 |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:47 p.m.