Triple
T2549280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svenska Akademiens ordlista |
E57980
|
entity |
| Predicate | titleAbbreviation |
P43
|
FINISHED |
| Object | SAOL |
E276527
|
NE FINISHED |
How this triple was built (2 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: SAOL | Statement: [Svenska Akademiens ordlista, titleAbbreviation, SAOL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAOL Context triple: [Svenska Akademiens ordlista, titleAbbreviation, SAOL]
-
A.
SAOL
chosen
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.
SA1
SA1 is a 3GPP working group responsible for defining overall service requirements and use cases for mobile telecommunications systems.
-
E.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e7cd4c8190a52cbbf1229441a6 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655a0f088190a7ac30c6df1fdff6 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:47 p.m.