Triple
T1192764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishiwada |
E25598
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Morges |
E230089
|
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: Morges | Statement: [Kishiwada, hasSisterCity, Morges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morges Context triple: [Kishiwada, hasSisterCity, Morges]
-
A.
Morges
chosen
Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
-
B.
Bardonnex
Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
-
C.
Corsier-sur-Vevey
Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
-
D.
Vallorbe
Vallorbe is a Swiss municipality in the canton of Vaud, known for its location near the French border and its notable karst caves and natural landscapes.
-
E.
Le Locle
Le Locle is a Swiss town in the Jura Mountains renowned as a historic center of the watchmaking industry and a UNESCO World Heritage Site.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd761ef08190b431b80f326d1ab2 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30355a548190af3f858170b9b82c |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:45 p.m.