Triple
T14266564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Lilienthal |
E353659
|
entity |
| Predicate | birthPlace |
P1
|
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: [Otto Lilienthal, birthPlace, Anklam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anklam Context triple: [Otto Lilienthal, birthPlace, 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.
Galwa
Galwa is a dialect of the Myene language spoken by communities in Gabon.
-
E.
Ankum
Ankum is a municipality in Lower Saxony, Germany, situated within the Osnabrück district.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.