Triple
T22564822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasselte |
E557918
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Borger |
—
|
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: Borger | Statement: [Gasselte, locatedNear, Borger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borger Context triple: [Gasselte, locatedNear, Borger]
-
A.
Borger
Borger is a small industrial city in the Texas Panhandle known historically for its oil and gas production.
-
B.
Borger
chosen
Borger is a village in the Dutch province of Drenthe, known for its prehistoric megalithic tombs (hunebedden) and archaeological heritage.
-
C.
Borghorst
Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
-
D.
Parsberg
Parsberg is a small Bavarian town in southeastern Germany known for its historic hilltop castle and location along major transport routes between Nuremberg and Regensburg.
-
E.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.