Triple
T10189773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .nu |
E238001
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object | NU |
E375980
|
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: NU | Statement: [.nu, countryCode, NU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NU Context triple: [.nu, countryCode, NU]
-
A.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
B.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
C.
NU
chosen
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
-
D.
NU
NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
-
E.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7d6fdc81908052866495b6574f |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317b734a4819085645caea8ba0481 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.