Triple
T10180069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VNF |
E235960
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | VNF |
E235960
|
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: VNF | Statement: [VNF, shortName, VNF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VNF Context triple: [VNF, shortName, VNF]
-
A.
VNF
chosen
VNF is the French public agency responsible for managing and developing the country’s inland waterways network.
-
B.
VNAF
VNAF was the air force branch of South Vietnam’s military, active primarily during the Vietnam War and equipped and trained largely by the United States.
-
C.
NS VIRM
NS VIRM is a series of Dutch double-decker electric multiple-unit trains operated by Nederlandse Spoorwegen for high-capacity intercity services.
-
D.
VFU
VFU is the commonly used abbreviation for Varna Free University, a private higher education institution in Varna, Bulgaria.
-
E.
V2
V2 is a class of British 2-6-2 steam locomotives designed by Sir Nigel Gresley for mixed-traffic duties on the London and North Eastern Railway.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301373a008190b8d39a8db4167e4f |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.