Triple
T12055653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gams |
E287034
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Balzers |
E486351
|
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: Balzers | Statement: [Gams, hasNeighboringMunicipality, Balzers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balzers Context triple: [Gams, hasNeighboringMunicipality, Balzers]
-
A.
Balzers
chosen
Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
-
B.
Vaduz
Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
-
C.
Schaan
Schaan is a major municipality in Liechtenstein known as its principal urban and industrial center.
-
D.
Luxembourg
Luxembourg is a small, landlocked Western European country known for its prosperous economy, status as a major financial center, and role as a founding member of the European Union.
-
E.
Luzech
Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90425258c8190ba7b3b837c439253 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.