Triple
T14454015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brügg |
E358406
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Aegerten |
E1035573
|
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: Aegerten | Statement: [Brügg, hasNeighboringMunicipality, Aegerten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegerten Context triple: [Brügg, hasNeighboringMunicipality, Aegerten]
-
A.
Aegerten
chosen
Aegerten is a small municipality in the canton of Bern in Switzerland, located near the city of Biel/Bienne.
-
B.
Hardegsen
Hardegsen is a small town in Lower Saxony, Germany, known for its medieval castle and historic town center.
-
C.
Kirchhellen
Kirchhellen is a district of the German city of Bottrop in North Rhine-Westphalia, known for its rural character and attractions such as the Movie Park Germany theme park.
-
D.
Osrhoene
Osrhoene was an ancient kingdom in Upper Mesopotamia, centered on the city of Edessa (modern Şanlıurfa), known for its early Christian heritage and role as a cultural crossroads between the Roman and Parthian/Sasanian empires.
-
E.
Ager
Ager is a surname most notably associated with American composer and songwriter Milton Ager, known for popular songs of the early 20th century.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648f56608190b6d55c592c088575 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.