Triple
T22562605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulhouse–Kruth railway |
E557854
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Thann |
—
|
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: Thann | Statement: [Mulhouse–Kruth railway, serves, Thann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thann Context triple: [Mulhouse–Kruth railway, serves, Thann]
-
A.
Thann
chosen
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
B.
Tharad
Tharad is a town in the Banaskantha district of Gujarat, India, known historically as a regional trading and administrative center.
-
C.
Thal
Thal is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near Lake Constance and known for its scenic landscape and wine-growing tradition.
-
D.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
-
E.
Thal
Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa6a928819083925ea23aaaf725 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.