Triple
T16821471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlendamm Bridge |
E408902
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Alt-Berlin |
E408901
|
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: Alt-Berlin | Statement: [Mühlendamm Bridge, connects, Alt-Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alt-Berlin Context triple: [Mühlendamm Bridge, connects, Alt-Berlin]
-
A.
Alt-Berlin
chosen
Alt-Berlin refers to the historic core of Berlin, encompassing the city’s earliest medieval settlements and forming the nucleus from which modern Berlin developed.
-
B.
New Berlin
New Berlin is a small village in Sangamon County, Illinois, located near Springfield and known for its rural Midwestern character.
-
C.
New Berlin
New Berlin is a suburban city in Waukesha County, Wisconsin, located just west of Milwaukee and known for its residential communities and light industry.
-
D.
Berlin ABC
Berlin ABC is a public transport fare zone in Berlin that covers the entire city and its surrounding areas within the integrated tariff system.
-
E.
Street, Berlin
Street, Berlin is a 1913 oil painting by German Expressionist Ernst Ludwig Kirchner, renowned for its vivid colors and distorted forms depicting the frenetic energy and alienation of modern urban life.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e6b59c8190ad562a80e71ce54c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.