Triple
T7407594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillenburg |
E170913
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Dourdan |
E156828
|
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: Dourdan | Statement: [Dillenburg, twinTown, Dourdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dourdan Context triple: [Dillenburg, twinTown, Dourdan]
-
A.
Dourdan
chosen
Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
-
B.
Crosne
Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
-
C.
Villeparisis
Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
-
D.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
E.
Draveil
Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f298f2388190afc944c9bc78749a |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9fc6bff48190b2f73e4c8c8b627a |
completed | April 3, 2026, 11:08 a.m. |
Created at: March 27, 2026, 3:10 p.m.