Triple
T14531490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brackley |
E340923
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Montabaur |
E254445
|
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: Montabaur | Statement: [Brackley, hasTwinTown, Montabaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montabaur Context triple: [Brackley, hasTwinTown, Montabaur]
-
A.
Montabaur
chosen
Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
-
B.
Benrath
Benrath is a German surname most notably associated with the late actor Martin Benrath.
-
C.
Morsbach
Morsbach is a small river in North Rhine-Westphalia, Germany, that flows through the city of Remscheid.
-
D.
Haunsheim
Haunsheim is a small municipality in the Bavarian region of southern Germany, known for its rural character and historic village setting.
-
E.
Boppard
Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab24f8c8190bb0e68ebb854844d |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:22 a.m.