Triple
T5795740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essoyes |
E128503
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bar‑sur‑Seine |
E341991
|
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: Bar‑sur‑Seine | Statement: [Essoyes, locatedNear, Bar‑sur‑Seine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bar‑sur‑Seine Context triple: [Essoyes, locatedNear, Bar‑sur‑Seine]
-
A.
Bar-sur-Seine
chosen
Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
-
B.
Moret-sur-Loing
Moret-sur-Loing is a picturesque historic town in north-central France, known for its medieval architecture and riverside scenery that inspired many Impressionist painters.
-
C.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
D.
Vaucresson
Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
-
E.
Saintry-sur-Seine
Saintry-sur-Seine is a small commune in the Essonne department of the Île-de-France region in northern France, situated 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a9304b081909ea004902f4ca569 |
completed | March 22, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9d13a8b108190a0b13592f3a6362e |
completed | March 30, 2026, 1:26 a.m. |
Created at: March 22, 2026, 3:51 p.m.