Triple
T16867771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Landmarks Register |
E410086
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | VLR |
E410086
|
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: VLR | Statement: [Virginia Landmarks Register, abbreviation, VLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VLR Context triple: [Virginia Landmarks Register, abbreviation, VLR]
-
A.
VLR
chosen
VLR is the abbreviation for the Virginia Landmarks Register, the Commonwealth of Virginia’s official list of historically significant properties and districts.
-
B.
VLR
VLR (Visitor Location Register) is a key mobile network database that temporarily stores subscriber information and location details for users currently roaming within a specific area.
-
C.
VRS
VRS is the acronym for the Army of Republika Srpska, the Bosnian Serb military force active during the Bosnian War in the 1990s.
-
D.
VRS
VRS (Verkehrsverbund Rhein-Sieg) is a public transport association in the Rhine-Sieg region of Germany that coordinates and manages integrated ticketing and fares across multiple transit operators.
-
E.
HLR
HLR is the FAA location identifier for Hood Army Airfield, a U.S. Army aviation facility.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50983148190a116f7e7017ccb1c |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aba8c481908f5ff1ddc4b255cb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.