Triple
T12836581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eemsmond |
E306931
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Usquert |
E262915
|
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: Usquert | Statement: [Eemsmond, containsSettlement, Usquert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usquert Context triple: [Eemsmond, containsSettlement, Usquert]
-
A.
Usquert
chosen
Usquert is a village in the Dutch province of Groningen, known for its historic church and characteristic northern Netherlands landscape.
-
B.
Uquía
Uquía is a small village in Argentina’s Jujuy Province, known for its colonial church and scenic location within the Quebrada de Humahuaca valley.
-
C.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
D.
Échevis
Échevis is a small commune in southeastern France, located in the Drôme department within the Auvergne-Rhône-Alpes region.
-
E.
Urique
Urique is a small town in the state of Chihuahua, Mexico, located at the bottom of the Urique Canyon in the Sierra Madre Occidental.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:35 p.m.