Triple
T16914421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSL |
E410284
|
entity |
| Predicate | coordinatesWith |
P1140
|
FINISHED |
| Object | VR Group |
E447404
|
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: VR Group | Statement: [HSL, coordinatesWith, VR Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VR Group Context triple: [HSL, coordinatesWith, VR Group]
-
A.
VR Group
chosen
VR Group is Finland’s state-owned railway company that operates domestic and international passenger and freight train services.
-
B.
VT Group
VT Group is a British engineering and shipbuilding company known for designing and constructing advanced naval vessels and providing marine and defense support services.
-
C.
VRG
VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
-
D.
Theta Group
Theta Group was a clandestine Norwegian World War II resistance cell known for its intelligence-gathering and support of Allied operations against the German occupation.
-
E.
VR&E
VR&E is a U.S. Department of Veterans Affairs program that helps eligible veterans and service members with service-connected disabilities prepare for, find, and maintain suitable employment or achieve independent living.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.