Triple
T13552343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Health (Aarhus University) |
E323680
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
HE
HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
|
E1047325
|
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: HE | Statement: [Faculty of Health (Aarhus University), abbreviation, HE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HE Context triple: [Faculty of Health (Aarhus University), abbreviation, HE]
-
A.
EH
EH is the IATA airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
-
B.
EH
EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
-
C.
EH
EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
-
D.
HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
-
E.
H
H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
- 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: HE Triple: [Faculty of Health (Aarhus University), abbreviation, HE]
Generated description
HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HE Target entity description: HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
-
A.
EH
EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
-
B.
EH
EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
-
C.
EH
EH is the IATA airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
-
D.
HEL
HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
-
E.
H
H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ec5101081909652b0c0998b36c8 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f4a3b0c81908c0ca0351771953b |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:46 p.m.