Triple
T13635353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Zürich Area |
E325833
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | Meilen |
E350843
|
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: Meilen | Statement: [Greater Zürich Area, includesMunicipality, Meilen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meilen Context triple: [Greater Zürich Area, includesMunicipality, Meilen]
-
A.
Meilen
chosen
Meilen is a municipality in the canton of Zurich, Switzerland, situated on the northern shore of Lake Zurich and known as part of the region’s affluent “Gold Coast.”
-
B.
Milles
Milles is a surname and variant of "Mills" that appears in English-speaking contexts.
-
C.
Mile
Mile is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China, known for its ethnic diversity and scenic landscapes.
-
D.
Milles-Lade
Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
-
E.
Mille
Mille is a French surname most notably borne by individuals such as Stéphane Mille.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aef6fd08190b209a94b9ddd024c |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.