Triple
T9480074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connecticut state highway system |
E228612
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Berlin Turnpike |
E591034
|
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: Berlin Turnpike | Statement: [Connecticut state highway system, includes, Berlin Turnpike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Turnpike Context triple: [Connecticut state highway system, includes, Berlin Turnpike]
-
A.
Berlin Turnpike
chosen
The Berlin Turnpike is a major commercial and transportation corridor in central Connecticut known for its dense strip of businesses, motels, and heavy traffic.
-
B.
Berliner Ring
Berliner Ring is the colloquial name for the A10 motorway, a major orbital highway encircling the city of Berlin in Germany.
-
C.
Berchtesgadener Weg
Berchtesgadener Weg is a classic and demanding alpine climbing route on the Watzmann’s East Face in the Bavarian Alps.
-
D.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
-
E.
Perusastraße
Perusastraße is a street in central Munich, Germany, located near Odeonsplatz in the historic city center.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cf7526c8190b96693bdc13743d5 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.