Triple
T3910796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuremberg City Walls |
E87315
|
entity |
| Predicate | significantGate |
P24982
|
FINISHED |
| Object | Laufer Tor |
E399009
|
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: Laufer Tor | Statement: [Nuremberg City Walls, significantGate, Laufer Tor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laufer Tor Context triple: [Nuremberg City Walls, significantGate, Laufer Tor]
-
A.
Kröpeliner Tor
Kröpeliner Tor is a historic medieval city gate and prominent architectural landmark in the German city of Rostock.
-
B.
Florian Gate
Florian Gate is a historic medieval city gate in Kraków, Poland, and one of the best-preserved remnants of the city’s old defensive walls.
-
C.
Frauentor
chosen
Frauentor is a historic city gate in Nuremberg, Germany, notable as one of the main entrances through the medieval fortifications into the old town.
-
D.
Erer Gate
Erer Gate is one of the historic gateways in the ancient walled city of Harar Jugol in eastern Ethiopia.
-
E.
Hallesches Tor
Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90e5f408190abf8353e153d1558 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337f3ae08190ba68fc20a3ba4692 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:22 p.m.