Triple
T544293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champ de Mars |
E12697
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Seine River |
E6962
|
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: Seine River | Statement: [Champ de Mars, adjacentTo, Seine River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seine River Context triple: [Champ de Mars, adjacentTo, Seine River]
-
A.
River Seine
chosen
The River Seine is a major waterway in northern France that flows through the heart of Paris and is central to the city's history, culture, and landscape.
-
B.
Source-Seine
Source-Seine is the small commune in eastern France where the River Seine originates.
-
C.
Seine River Basin
The Seine River Basin is the extensive drainage area in northern France that collects the waters of the Seine and its tributaries, encompassing Paris and much of the surrounding region.
-
D.
Loire
The Loire is the longest river in France, renowned for its scenic valley dotted with historic châteaux and vineyards.
-
E.
Semois River
The Semois River is a picturesque waterway in southern Belgium and northern France, known for winding through the rugged, forested landscapes of the Ardennes.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dea88881908a938fe8f2313bec |
completed | March 1, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55a7165988190bc4312ca40770e27 |
completed | March 2, 2026, 9:37 a.m. |
Created at: March 1, 2026, 7:32 p.m.