Triple
T19692647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lippe (region) |
E472873
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Extertal |
—
|
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: Extertal | Statement: [Lippe (region), hasPart, Extertal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extertal Context triple: [Lippe (region), hasPart, Extertal]
-
A.
Extertal
chosen
Extertal is a municipality in the Lippe district of North Rhine-Westphalia, Germany, known for its rural landscape and small villages in the Weser Uplands region.
-
B.
Exter
Exter is a village and district of the town of Vlotho in the German state of North Rhine-Westphalia.
-
C.
Ekster
Ekster is the surname of Alexandra Exter, a prominent Russian-Ukrainian avant-garde painter and stage designer associated with Cubism and Futurism.
-
D.
Ektopos
Ektopos is a film featuring actor Liam McIntyre, likely in a science fiction or thriller setting.
-
E.
Đàng Ngoài
Đàng Ngoài was the northern domain of Vietnam historically ruled by the Trịnh lords, centered on Thăng Long (Hanoi) and opposed to the southern Đàng Trong.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64210cddc8190836faa2996a44457 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.