Triple
T3220050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DK |
E67489
|
entity |
| Predicate | hasAlpha3CompanionCode |
P8719
|
FINISHED |
| Object | DNK |
E67489
|
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: DNK | Statement: [DK, hasAlpha3CompanionCode, DNK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNK Context triple: [DK, hasAlpha3CompanionCode, DNK]
-
A.
DNAA
DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
-
B.
DRNA
DRNA is the commonly used acronym for Puerto Rico’s Department of Natural and Environmental Resources, the government agency responsible for managing and protecting the island’s natural resources and environment.
-
C.
DK
chosen
DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
-
D.
DK
DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
-
E.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0ef2c88190ab89e3217438a2bf |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624a770881908f0a9415b6f74ee0 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.