Triple
T10058234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurich |
E208915
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Anklam |
E213445
|
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: Anklam | Statement: [Aurich, hasTwinTown, Anklam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anklam Context triple: [Aurich, hasTwinTown, Anklam]
-
A.
Anklam
chosen
Anklam is a small historic town in northeastern Germany’s Mecklenburg-Vorpommern state, known as the birthplace of aviation pioneer Otto Lilienthal.
-
B.
Johannisthal
Johannisthal is a locality in the Berlin borough of Treptow-Köpenick, known historically for Germany’s first airfield and its early aviation activities.
-
C.
Wrangelsburg
Wrangelsburg is a historic estate and locality in northeastern Germany associated with the 17th-century Swedish field marshal and statesman Carl Gustaf Wrangel.
-
D.
Ankum
Ankum is a municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
E.
Bijnor
Bijnor is a prominent city in the Indian state of Uttar Pradesh, known for its agricultural economy, especially sugarcane cultivation, and its historical and cultural significance in the region.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfaf7700819084dedf7b63e789c1 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5d4b308190b5b1ece1ca99be86 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.