Triple
T10857035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMS Stanier Class 5 4-6-0 |
E256294
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Black Five |
E400051
|
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: Black Five | Statement: [LMS Stanier Class 5 4-6-0, hasNickname, Black Five]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Five Context triple: [LMS Stanier Class 5 4-6-0, hasNickname, Black Five]
-
A.
Black Five
chosen
Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
-
B.
Foxbat
Foxbat is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-25, a high-speed, high-altitude interceptor and reconnaissance aircraft developed during the Cold War.
-
C.
Blackhawk
Blackhawk is the athletic and school spirit mascot representing Springs Valley High School’s teams and student body.
-
D.
SkyHawk
SkyHawk is Seagate’s specialized line of hard disk drives designed for surveillance systems, optimized for continuous 24/7 video recording and high reliability.
-
E.
Skyhawk
Skyhawk is the athletic mascot representing the University of Tennessee at Martin’s sports teams.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb197808c8190b1c80aeb2144a909 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.