Triple
T4163170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U3 |
E91577
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Hohe Marter
Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
|
E416697
|
NE FINISHED |
How this triple was built (4 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: Hohe Marter | Statement: [U3, hasStation, Hohe Marter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohe Marter Context triple: [U3, hasStation, Hohe Marter]
-
A.
Wysokie Skałki
Wysokie Skałki is the highest peak of the Pieniny range in southern Poland, known for its scenic views and popular hiking trails.
-
B.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
C.
The Mountain
The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
-
D.
The Mountain
The Mountain is a 1956 American drama film starring Spencer Tracy and Robert Wagner, centered on two brothers who attempt a perilous climb to a crashed airplane high in the French Alps.
-
E.
Murgtal
Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hohe Marter Triple: [U3, hasStation, Hohe Marter]
Generated description
Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohe Marter Target entity description: Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
-
A.
Wysokie Skałki
Wysokie Skałki is the highest peak of the Pieniny range in southern Poland, known for its scenic views and popular hiking trails.
-
B.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
C.
The Mountain
The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
-
D.
The Mountain
The Mountain is a 1956 American drama film starring Spencer Tracy and Robert Wagner, centered on two brothers who attempt a perilous climb to a crashed airplane high in the French Alps.
-
E.
Murgtal
Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
- F. None of above. chosen
Provenance (5 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a811608190aff8b663498711e8 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57fe89ed0819089d7e56568755b1c |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5805cb7e88190b2f6ed6a18de9319 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:44 p.m.