Triple
T9914856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Montmorency |
E185841
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Andilly, Val-d'Oise |
E278023
|
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: Andilly, Val-d'Oise | Statement: [canton of Montmorency, contains, Andilly, Val-d'Oise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andilly, Val-d'Oise Context triple: [canton of Montmorency, contains, Andilly, Val-d'Oise]
-
A.
Andilly
chosen
Andilly is a small commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
B.
Les Andelys
Les Andelys is a historic town in northern France on the Seine River, known for its medieval Château Gaillard fortress and as the birthplace of painter Nicolas Poussin.
-
C.
Ivry-la-Bataille
Ivry-la-Bataille is a small historic commune in northern France known for its medieval castle ruins and strategic location along the Eure River.
-
D.
Crosne
Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
-
E.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53ba1ac8190ba655133b81596d7 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dd82edc8190b405a3969864af77 |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:41 p.m.