Triple
T20336832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PTH 52 |
E495632
|
entity |
| Predicate | connectsCommunity |
P12608
|
FINISHED |
| Object | Steinbach |
—
|
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: Steinbach | Statement: [PTH 52, connectsCommunity, Steinbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinbach Context triple: [PTH 52, connectsCommunity, Steinbach]
-
A.
Steinbach
Steinbach is a small river or stream in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg (Starnberger See).
-
B.
Steinbach
chosen
Steinbach is a district or locality that forms part of the town of Hadamar in the German state of Hesse.
-
C.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
D.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
E.
Dassel
Dassel is a small town and municipality in Lower Saxony, Germany, known for its rural setting near the Solling hills and its historical timber-framed architecture.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
Created at: April 16, 2026, 11:23 a.m.