Triple
T15461525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardanger Bridge |
E371911
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Aas-Jakobsen
Aas-Jakobsen is a Norwegian consulting engineering firm renowned for its expertise in designing major bridges and other large-scale infrastructure projects.
|
E1158823
|
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: Aas-Jakobsen | Statement: [Hardanger Bridge, designedBy, Aas-Jakobsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aas-Jakobsen Context triple: [Hardanger Bridge, designedBy, Aas-Jakobsen]
-
A.
Ole-Johan
Ole-Johan is the given name of Ole-Johan Dahl, a pioneering Norwegian computer scientist known for co-developing object-oriented programming.
-
B.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
-
C.
Karlssen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
D.
Julius Skarlandt
Julius Skarlandt was a Czech sports official best known for leading the organization of the 1964 Winter Olympics in Innsbruck.
-
E.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
- 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: Aas-Jakobsen Triple: [Hardanger Bridge, designedBy, Aas-Jakobsen]
Generated description
Aas-Jakobsen is a Norwegian consulting engineering firm renowned for its expertise in designing major bridges and other large-scale infrastructure projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aas-Jakobsen Target entity description: Aas-Jakobsen is a Norwegian consulting engineering firm renowned for its expertise in designing major bridges and other large-scale infrastructure projects.
-
A.
Ole-Johan
Ole-Johan is the given name of Ole-Johan Dahl, a pioneering Norwegian computer scientist known for co-developing object-oriented programming.
-
B.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
-
C.
Karlssen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
D.
Julius Skarlandt
Julius Skarlandt was a Czech sports official best known for leading the organization of the 1964 Winter Olympics in Innsbruck.
-
E.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f17663c8190b995c7c3129c90d6 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfd76cc8190b3d8148ffe872887 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2ead88b0819093046c5f0dae8674 |
completed | May 9, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2f4a404c81909a391d3d2cba1ee8 |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 10, 2026, 3:32 a.m.