Triple
T16644054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papelotte |
E404418
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Smohain |
E396981
|
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: Smohain | Statement: [Papelotte, locatedNear, Smohain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smohain Context triple: [Papelotte, locatedNear, Smohain]
-
A.
Smohain
chosen
Smohain is a small hamlet in Belgium notable for its proximity to key sites on the Waterloo battlefield.
-
B.
Thieux
Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
C.
Deûle
The Deûle is a canalised river in northern France that flows through the Lille metropolitan area and serves as an important waterway for the region.
-
D.
Quarreux
Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
-
E.
Samoreau
Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad3b12c8190a32e33d9ecff9dae |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bd1b648190b6189533dcd7b9ac |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.