Triple
T23282977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stans |
E588915
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Oberdorf NW |
—
|
NE NERFINISHED |
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: Oberdorf NW | Statement: [Stans, hasNeighboringMunicipality, Oberdorf NW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberdorf NW Context triple: [Stans, hasNeighboringMunicipality, Oberdorf NW]
-
A.
Oberdorf
Oberdorf is a historic quarter within Zurich’s Old Town known for its narrow streets, traditional buildings, and lively mix of shops, restaurants, and cultural venues.
-
B.
Oberdorf
chosen
Oberdorf is a Swiss municipality situated in the central alpine canton of Nidwalden.
-
C.
Oberdorf
Oberdorf is a locality within the Austrian municipality of Wolfurt in the state of Vorarlberg.
-
D.
Oberdorf
Oberdorf is a locality within the municipality of Thalgau in the Austrian state of Salzburg.
-
E.
Obernbeck
Obernbeck is a district of the town of Löhne in the Herford district of North Rhine-Westphalia, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:58 p.m.