Triple
T18165017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Defence Volunteers |
E434869
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
LDV
LDV refers to the Local Defence Volunteers, the British World War II home guard force formed to defend the UK against potential invasion.
|
E1309454
|
NE FINISHED |
How this triple was built (4 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: LDV | Statement: [Local Defence Volunteers, alsoKnownAs, LDV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LDV Context triple: [Local Defence Volunteers, alsoKnownAs, LDV]
-
A.
LDV
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
-
B.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
C.
LEV
LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
-
D.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
E.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LDV Triple: [Local Defence Volunteers, alsoKnownAs, LDV]
Generated description
LDV refers to the Local Defence Volunteers, the British World War II home guard force formed to defend the UK against potential invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LDV Target entity description: LDV refers to the Local Defence Volunteers, the British World War II home guard force formed to defend the UK against potential invasion.
-
A.
LDV
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
-
B.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
C.
LEV
LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
-
D.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
E.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
- F. None of above. chosen
Provenance (5 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec71b7881908d123d0cea3adf1f |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc25f248190a9ac02acf968069f |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03908bd80081909f993408c7d2c96b |
completed | May 12, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0390ebaed08190aea8a646e07cb1c4 |
completed | May 12, 2026, 8:43 p.m. |
Created at: April 10, 2026, 10:30 a.m.