Triple
T7407389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neubrandenburg |
E170908
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Treptower Tor |
E662433
|
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: Treptower Tor | Statement: [Neubrandenburg, hasLandmark, Treptower Tor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treptower Tor Context triple: [Neubrandenburg, hasLandmark, Treptower Tor]
-
A.
Treptower Tor
chosen
Treptower Tor is a prominent medieval brick Gothic city gate and landmark in Neubrandenburg, Germany.
-
B.
Teufelsberg
Teufelsberg is an artificial hill in Berlin built from World War II rubble, best known for its former U.S. listening station and panoramic city views.
-
C.
Tower Hill
Tower Hill is a nearby settlement to Kirkby in England, likely a small village or locality within the surrounding rural area.
-
D.
Tower Hill
Tower Hill is a London Underground station near the Tower of London that serves as a key interchange point on the network.
-
E.
Tower Park
Tower Park is a popular recreational and historic park in Fort Thomas, Kentucky, featuring sports facilities, green spaces, and remnants of the former military fort.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed79680819087a56082e968c266 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:10 p.m.