Triple
T20456633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erkrath |
E501804
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Haan |
—
|
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: Haan | Statement: [Erkrath, adjacentTo, Haan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haan Context triple: [Erkrath, adjacentTo, Haan]
-
A.
Haan
chosen
Haan is a town in the German state of North Rhine-Westphalia, known for its location between Düsseldorf and Wuppertal and its mix of residential areas and light industry.
-
B.
Haan
Haan is a music producer and member of the hip-hop and trap-focused collective Internet Money.
-
C.
Hane
Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
-
D.
Hain
Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
-
E.
Hakha
Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:32 a.m.