Triple
T2832359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Document System of the United Nations |
E62267
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
ODS
ODS is the United Nations’ online platform for publishing, accessing, and searching official UN documents in multiple languages.
|
E303389
|
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: ODS | Statement: [Official Document System of the United Nations, hasAbbreviation, ODS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ODS Context triple: [Official Document System of the United Nations, hasAbbreviation, ODS]
-
A.
ODS
ODS is a major Czech centre-right political party known for its liberal-conservative ideology and significant role in the country’s post-communist politics.
-
B.
ODF
ODF is the state agency responsible for managing Oregon’s forest resources, including wildfire protection, forest health, and sustainable timber management.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
E.
PDS
PDS is the IATA airport code for the international airport serving Piedras Negras in the Mexican state of Coahuila.
- 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: ODS Triple: [Official Document System of the United Nations, hasAbbreviation, ODS]
Generated description
ODS is the United Nations’ online platform for publishing, accessing, and searching official UN documents in multiple languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ODS Target entity description: ODS is the United Nations’ online platform for publishing, accessing, and searching official UN documents in multiple languages.
-
A.
ODS
ODS is a major Czech centre-right political party known for its liberal-conservative ideology and significant role in the country’s post-communist politics.
-
B.
ODF
ODF is the state agency responsible for managing Oregon’s forest resources, including wildfire protection, forest health, and sustainable timber management.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
E.
PDS
PDS is the IATA airport code for the international airport serving Piedras Negras in the Mexican state of Coahuila.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebe95188190bf65fb4cd88e2ec5 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8bb92b08190b1de7e6973d96301 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afea972cc8819087455f3233f84d21 |
completed | March 10, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b003cb1b2081909ddf2e6bae3e5491 |
completed | March 10, 2026, 11:43 a.m. |
Created at: March 6, 2026, 10:01 p.m.