Triple
T2608668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svenska Akademiens ordbok |
E58721
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SAOB
SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
|
E282472
|
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: SAOB | Statement: [Svenska Akademiens ordbok, shortName, SAOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAOB Context triple: [Svenska Akademiens ordbok, shortName, SAOB]
-
A.
SAOL
SAOL is the authoritative Swedish language dictionary published by the Swedish Academy, providing standardized spellings and basic information on modern Swedish words.
-
B.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
C.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
D.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
E.
SA2
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
- 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: SAOB Triple: [Svenska Akademiens ordbok, shortName, SAOB]
Generated description
SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAOB Target entity description: SAOB is the standard historical dictionary of the Swedish language, published by the Swedish Academy.
-
A.
SAOL
SAOL is the authoritative Swedish language dictionary published by the Swedish Academy, providing standardized spellings and basic information on modern Swedish words.
-
B.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
C.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
D.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
E.
SA2
SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd868acc481909444c99a621cdbec |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e1efb88190b79c2c6ac0e87647 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af84a15b5c8190bb68b6ff313adb6c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85aa5f548190a4ce1a4ff38ca5e3 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.