Triple
T11406920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Landen |
E270261
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Landen |
E858326
|
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: Landen | Statement: [Battle of Landen, location, Landen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landen Context triple: [Battle of Landen, location, Landen]
-
A.
Landen
chosen
Landen is a historic town in present-day Belgium, traditionally associated with the early medieval Frankish nobleman Pepin of Landen.
-
B.
Leeland
Leeland is a contemporary Christian worship band known for its melodic rock sound and spiritually themed lyrics.
-
C.
Kingsland
Kingsland is a vibrant inner-city suburb of Auckland, New Zealand, known for its cafes, bars, and proximity to Eden Park stadium.
-
D.
Lufton
Lufton is a fictional aristocratic family name most notably associated with the character Lord Lufton in Anthony Trollope’s Barsetshire novels.
-
E.
Lantzville
Lantzville is a small coastal community and district municipality on central Vancouver Island in British Columbia, Canada, known for its residential character and seaside setting.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d56608481908dbb19daa2abfc0a |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.