Triple
T11845185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathay Dragon |
E281756
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
HDA
HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
|
E949288
|
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: HDA | Statement: [Cathay Dragon, ICAOCode, HDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDA Context triple: [Cathay Dragon, ICAOCode, HDA]
-
A.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
B.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
C.
HdM
HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
-
D.
AHD
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
-
E.
ANA HD
ANA HD is a Japanese aviation holding company that owns and operates All Nippon Airways and related air transport and travel businesses.
- 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: HDA Triple: [Cathay Dragon, ICAOCode, HDA]
Generated description
HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HDA Target entity description: HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
-
A.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
B.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
C.
HdM
HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
-
D.
AHD
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
-
E.
ANA HD
ANA HD is a Japanese aviation holding company that owns and operates All Nippon Airways and related air transport and travel businesses.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167a876048190aeeeccebae9e46ad |
completed | April 29, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.