Triple
T10035936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wantage |
E204968
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Mably |
E204972
|
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: Mably | Statement: [Wantage, hasTwinTown, Mably]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mably Context triple: [Wantage, hasTwinTown, Mably]
-
A.
Mably
chosen
Mably is a commune in the Loire department of central France, known for its local heritage and its twinning links with towns such as Wantage in England.
-
B.
Desmoulins
Desmoulins is a French surname most famously borne by Camille Desmoulins, a prominent journalist and revolutionary figure during the French Revolution.
-
C.
Malesherbes
Malesherbes was a prominent French statesman and lawyer best known for courageously defending King Louis XVI during his revolutionary trial.
-
D.
Malesherbes
Malesherbes is a commune in north-central France that serves as a terminus of the RER D suburban rail line connecting it to the Paris metropolitan area.
-
E.
Gustave de Beaumont
Gustave de Beaumont was a 19th-century French magistrate, writer, and social reformer best known for his close collaboration with Alexis de Tocqueville and his studies of American society and social issues.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4bb3408190ac5dae4718ef7cad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28258ab088190a31ad5854d91193b |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.