Triple
T3560659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office for National Statistics |
E75327
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ONS |
E370601
|
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: ONS | Statement: [Office for National Statistics, hasAbbreviation, ONS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONS Context triple: [Office for National Statistics, hasAbbreviation, ONS]
-
A.
ONS
chosen
ONS is the United Kingdom’s largest independent producer of official statistics and its recognized national statistical institute.
-
B.
O.N.S.
O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
-
C.
OUS
OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
-
D.
OON
OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
-
E.
NS
NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08ac1b0819082021ecdd0061dc3 |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402e41b8c8190b6221725c7a84532 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:21 p.m.