Triple
T9048558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANA Holdings Inc. |
E216821
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ANA HD
ANA HD is a Japanese aviation holding company that owns and operates All Nippon Airways and related air transport and travel businesses.
|
E774475
|
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: ANA HD | Statement: [ANA Holdings Inc., shortName, ANA HD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ANA HD Context triple: [ANA Holdings Inc., shortName, ANA HD]
-
A.
AHD
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
-
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.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
E.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
- 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: ANA HD Triple: [ANA Holdings Inc., shortName, ANA HD]
Generated description
ANA HD is a Japanese aviation holding company that owns and operates All Nippon Airways and related air transport and travel businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ANA HD Target entity description: ANA HD is a Japanese aviation holding company that owns and operates All Nippon Airways and related air transport and travel businesses.
-
A.
AHD
AHD is the abbreviated name commonly used for Anhui University, a major comprehensive public university in Anhui Province, China.
-
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.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
E.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc0fd648190b0dd6cf62605b98f |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfed4fb6cc8190bb97345dd392b25b |
completed | April 3, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:09 p.m.