Triple
T21616011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahntal railway |
E533438
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Diez |
—
|
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: Diez | Statement: [Lahntal railway, connects, Diez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diez Context triple: [Lahntal railway, connects, Diez]
-
A.
Diez
chosen
Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
-
B.
Toma
Toma is a small town located in Kamikawa Subprefecture on Japan’s northern island of Hokkaido.
-
C.
Toma
Toma is a traditional semi-hard cow’s milk cheese from Italy’s Piedmont region, known for its mild, buttery flavor and smooth, elastic texture.
-
D.
Toma
Toma is a masculine given name used in various European cultures, often as a form of Thomas.
-
E.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3baab9e88190bc02f27133ef32d6 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.