Triple
T8883726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Paris Métro) |
E211472
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Alésia |
E199954
|
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: Alésia | Statement: [Line 4 (Paris Métro), hasStation, Alésia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alésia Context triple: [Line 4 (Paris Métro), hasStation, Alésia]
-
A.
Alésia
chosen
Alésia is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and the busy Place d'Alésia shopping district.
-
B.
Gaula
Gaula is a major river in central Norway known for its salmon fishing and for flowing into the Trondheimsfjord near Trondheim.
-
C.
Allobroges
The Allobroges were an ancient Celtic tribe of Gaul, primarily inhabiting the region between the Rhône River and the Alps in what is now southeastern France.
-
D.
Clamecy
Clamecy is a historic commune in central France known for its medieval architecture and former timber-floating industry along the Yonne River.
-
E.
Vervins
Vervins is a commune in the Aisne department of northern France, known historically for the 1598 Treaty of Vervins between France and Spain.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616b2d988190b923ef1e33aab787 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabd254148190b5ea3d308fe96851 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.