Triple
T15173451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doumen District |
E362546
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Doumen town |
E1142628
|
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: Doumen town | Statement: [Doumen District, hasSettlement, Doumen town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doumen town Context triple: [Doumen District, hasSettlement, Doumen town]
-
A.
Doumen
chosen
Doumen is a town in Guangdong Province, China, serving as the administrative seat and namesake of Doumen District in the city of Zhuhai.
-
B.
Tombeek
Tombeek is a village and sub-municipality of Overijse in the Flemish Brabant province of Belgium.
-
C.
Lermoos
Lermoos is a Tyrolean village in western Austria known as a ski and hiking resort in the Zugspitze region.
-
D.
Duinbergen
Duinbergen is a coastal residential and resort neighborhood within the Belgian municipality of Knokke-Heist, known for its beaches and seaside villas.
-
E.
Sint-Omaars
Sint-Omaars is the Dutch name for the historic French town of Saint-Omer in the Pas-de-Calais region.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006501b488190a2ab09dbf1532571 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd27f2f481909dc26889c973932e |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:09 a.m.