Triple
T16158269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graben |
E392108
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Tuchlauben |
E1117267
|
NE FINISHED |
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: Tuchlauben | Statement: [Graben, connectsTo, Tuchlauben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuchlauben Context triple: [Graben, connectsTo, Tuchlauben]
-
A.
Tuchlauben
chosen
Tuchlauben is a historic street in Vienna’s city center, known for its upscale shops and proximity to major landmarks in the old town.
-
B.
Nebelschütz
Nebelschütz is a small municipality in eastern Saxony, Germany, known for its Sorbian cultural heritage and rural setting.
-
C.
Schlawe
Schlawe is a historic town in Pomerania, formerly in Prussia and now known as Sławno in northwestern Poland.
-
D.
Ehlhalten
Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
-
E.
Von der Tann
Von der Tann was the Imperial German Navy’s first battlecruiser, notable for combining heavy armament with high speed and influencing subsequent German capital ship designs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5c9cd0819090e34ee163ffb118 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b05a588190a44d1c922195a87b |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.