Triple
T19590574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UC-64 Norseman |
E470218
|
entity |
| Predicate | designationByUSAAF |
P7137
|
FINISHED |
| Object | UC‑64 |
—
|
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: UC‑64 | Statement: [UC-64 Norseman, designationByUSAAF, UC‑64]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UC‑64 Context triple: [UC-64 Norseman, designationByUSAAF, UC‑64]
-
A.
UC-64 Norseman
chosen
The UC-64 Norseman is a rugged, single-engine Canadian bush plane widely used by Allied forces in World War II for transport and utility missions.
-
B.
UP-62
UP-62 is the regional vehicle registration code assigned to motor vehicles registered in the Jaunpur district of Uttar Pradesh, India.
-
C.
UWC-136
UWC-136 is a mobile telecommunications standard within the IMT-2000 family designed to support third-generation (3G) wireless services.
-
D.
C-Unit
C-Unit is the official student cheering section for the University of Colorado Boulder’s Buffaloes football team, known for its energetic support at home games.
-
E.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640552db48190b34555e4b72a75c4 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.