Triple
T2774553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eupen-Malmedy region |
E61536
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Waimes |
E262740
|
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: Waimes | Statement: [Eupen-Malmedy region, hasMunicipality, Waimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waimes Context triple: [Eupen-Malmedy region, hasMunicipality, Waimes]
-
A.
Waimes
chosen
Waimes is a municipality in the predominantly French-speaking region of Wallonia in eastern Belgium, known for its rural landscapes and proximity to the High Fens nature reserve.
-
B.
Wildomar
Wildomar is a small city in Southern California known for its suburban residential character and location within the rapidly growing Inland Empire region.
-
C.
Peenestrom
Peenestrom is a strait in northeastern Germany that connects the Szczecin Lagoon with the Baltic Sea and separates the island of Usedom from the mainland.
-
D.
Elwyn
Elwyn is a given name most notably associated with mathematician and coding theorist Elwyn R. Berlekamp.
-
E.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc058c8a48190bbd151251678b4ee |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.