Triple
T2343789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essonne |
E45084
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Massy |
E67386
|
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: Massy | Statement: [Essonne, contains, Massy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massy Context triple: [Essonne, contains, Massy]
-
A.
Massy
chosen
Massy is a suburban town in the southern outskirts of Paris, France, known as a significant transport hub with major RER and TGV connections.
-
B.
La Défense
La Défense is a major high-rise business district just west of central Paris, known for its modern skyscrapers, corporate headquarters, and the Grande Arche monument.
-
C.
La Défense
La Défense is the French-language name of the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and participation in international security operations.
-
D.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
-
E.
Asnières-sur-Seine
Asnières-sur-Seine is a suburban commune in the northwestern outskirts of Paris, France, known for its residential neighborhoods and location 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.