Triple
T9314369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Commissioner's Office |
E224081
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ICO |
E224081
|
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: ICO | Statement: [Information Commissioner's Office, shortName, ICO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICO Context triple: [Information Commissioner's Office, shortName, ICO]
-
A.
ICO
chosen
The ICO is the United Kingdom’s independent authority responsible for upholding information rights, data protection, and privacy laws.
-
B.
IC
IC is a category of long-distance passenger trains in Poland, operated by PKP Intercity and offering intercity connections between major cities.
-
C.
IC
IC is a common abbreviation for Iowa City, a university-centered community best known as the home of the University of Iowa and its renowned Writers' Workshop.
-
D.
IC
IC was the stock ticker symbol used by the historic Illinois Central Railroad, a major U.S. railroad that played a key role in Midwestern and Southern rail transport.
-
E.
IC
IC is the School of Computer and Communication Sciences at EPFL, renowned for its research and education in computer science, communications, and information technology.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b2274481908ddb4eda70cea8cc |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7a0adc4819097ac906f03f0188e |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:37 p.m.