Triple
T21784648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanaken |
E537803
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lanaken (town) |
—
|
NE NERFINISHED |
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: Lanaken (town) | Statement: [Lanaken, contains, Lanaken (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanaken (town) Context triple: [Lanaken, contains, Lanaken (town)]
-
A.
Lanaken
chosen
Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
-
B.
Lancken
Lancken is a small village and locality within the municipality of Dranske on the island of Rügen in Mecklenburg-Vorpommern, Germany.
-
C.
Lacunosa Town
Lacunosa Town is a small, walled settlement in the Unova region of the Pokémon world, known for its superstition about a dangerous creature said to lurk outside its walls at night.
-
D.
Apaneca town
Apaneca town is a small highland community in western El Salvador known for its cool climate, coffee plantations, and proximity to scenic volcanic landscapes.
-
E.
Lanke
Lanke is a poetic nickname for the Chinese city of Quzhou, often associated with its cultural heritage and scenic landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f046303d54819096b3fab4ab5678e6 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.