Triple
T10141538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papenburg |
E231594
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object | Emsland |
E47544
|
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: Emsland | Statement: [Papenburg, locatedInHistoricalRegion, Emsland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emsland Context triple: [Papenburg, locatedInHistoricalRegion, Emsland]
-
A.
Emsland
chosen
Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
-
B.
Münsterland
Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
-
C.
Havelland
Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
-
D.
Ammerland
Ammerland is a locality within the Bavarian municipality of Münsing in Germany, situated near Lake Starnberg.
-
E.
Westfalen
Westfalen is a historical region in northwestern Germany, now largely part of the state of North Rhine-Westphalia, known for its distinct cultural identity and medieval heritage.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3175fa0c0819088d372f534f9447e |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:07 p.m.