Triple
T6044559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusiana |
E134632
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | IT |
E367366
|
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: IT | Statement: [Lusiana, countryCode, IT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IT Context triple: [Lusiana, countryCode, IT]
-
A.
IT
chosen
IT is the ISO 3166-1 alpha-2 country code for Italy, a Southern European nation known for its rich history, art, and cultural heritage.
-
B.
ICT
ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
-
C.
ICT
ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
-
D.
ICT
ICT was a major British computer manufacturer formed in the late 1950s that played a key role in the early development and commercialization of computing in the United Kingdom.
-
E.
ITS
ITS is the research and engineering arm of the U.S. National Telecommunications and Information Administration, specializing in telecommunications and spectrum-related studies.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139f53d881908f2aa8211fc7539f |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.