Triple
T19810667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carpi |
E475934
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | IT |
—
|
NE NERFINISHED |
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: [Carpi, countryCode, IT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IT Context triple: [Carpi, 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.
IT
IT is the disembodied, all-controlling brain on the planet Camazotz in *A Wrinkle in Time*, embodying oppressive conformity and mind control.
-
C.
ICT
ICT is the commonly used abbreviation and nickname for Inverness Caledonian Thistle Football Club, a professional football team based in Inverness, Scotland.
-
D.
ICT
ICT is the vehicle registration code used for motor vehicles registered in Islamabad, the capital city of Pakistan.
-
E.
ICT
ICT (Information and Communication Technology) is a broad field that focuses on the development, management, and use of digital technologies and communication systems to process, transmit, and store information.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542bd7a48190acf67db41f1131c9 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.