Triple
T2933709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alt-Mariendorf |
E79213
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Westphalweg |
E73104
|
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: Westphalweg | Statement: [Alt-Mariendorf, hasAdjacentStation, Westphalweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westphalweg Context triple: [Alt-Mariendorf, hasAdjacentStation, Westphalweg]
-
A.
Westphalweg
chosen
Westphalweg is a station on Berlin’s U6 U-Bahn line serving the Tempelhof-Schöneberg district in the southern part of the city.
-
B.
Scheveningseweg
Scheveningseweg is a major historic road in The Hague, Netherlands, connecting the city center with the seaside district of Scheveningen.
-
C.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
D.
Damstraat
Damstraat is a central street in Amsterdam’s historic city center, linking Dam Square with the Red Light District and lined with shops, cafés, and tourist-oriented businesses.
-
E.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983b65f881909b8b7d3dc5c224fd |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867796808190a026c165e759f3ea |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.