Triple
T18239760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirzel Pass |
E436776
|
entity |
| Predicate | roadOver |
P30397
|
FINISHED |
| Object | Hirzelstrasse |
—
|
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: Hirzelstrasse | Statement: [Hirzel Pass, roadOver, Hirzelstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirzelstrasse Context triple: [Hirzel Pass, roadOver, Hirzelstrasse]
-
A.
Hirzelstrasse
chosen
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
-
B.
Rosengartenstrasse
Rosengartenstrasse is a major urban road in Zurich, Switzerland, serving as a key traffic artery and connection point within the city’s transport network.
-
C.
Mühlenstrasse
Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
-
D.
Georgstrasse
Georgstrasse is a prominent shopping and commercial street in the center of Hanover, Germany, known for its retail stores, cafes, and historic urban setting.
-
E.
Niederdorfstrasse
Niederdorfstrasse is a lively, historic pedestrian street in Zurich known for its medieval charm, shops, restaurants, and nightlife.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e19d9881908d6a227528241e4a |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.