Triple
T10008842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNZNDRF |
E198318
|
entity |
| Predicate | hasRelease |
P22087
|
FINISHED |
| Object | LNZNDRF II |
E198318
|
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: LNZNDRF II | Statement: [LNZNDRF, hasRelease, LNZNDRF II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LNZNDRF II Context triple: [LNZNDRF, hasRelease, LNZNDRF II]
-
A.
LNZNDRF
chosen
LNZNDRF is an experimental rock side project featuring members of The National and Beirut, known for its atmospheric, krautrock-influenced sound.
-
B.
LZ
LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
-
C.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
-
D.
ZUNR
ZUNR was the Ukrainian-language abbreviation for the West Ukrainian People’s Republic, a short-lived Ukrainian state that existed in Eastern Galicia after World War I.
-
E.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.