Triple
T10775572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place Jussieu |
E254187
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gare d'Austerlitz |
E100718
|
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: Gare d'Austerlitz | Statement: [Place Jussieu, near, Gare d'Austerlitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare d'Austerlitz Context triple: [Place Jussieu, near, Gare d'Austerlitz]
-
A.
Gare d’Austerlitz
chosen
Gare d’Austerlitz is a major Paris railway station on the Left Bank of the Seine, serving both mainline and suburban trains including the RER network.
-
B.
Paris-Austerlitz station
Paris-Austerlitz station is a major railway terminus in central Paris, serving regional, national, and international trains, particularly toward central and southwestern France.
-
C.
Wagram station
Wagram station is a Paris Métro station on Line 3 located in the 17th arrondissement of Paris, France.
-
D.
Gare de l'Est
Gare de l'Est is one of Paris's major railway stations, serving eastern France and international destinations such as Germany and Luxembourg.
-
E.
Gare Centrale
Gare Centrale is Montreal’s main intercity railway station and a major transportation hub in Quebec, Canada.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329cc6c881908f827edff941d456 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238559b48190abc759e744ab0f8e |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.