Triple
T13271806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont Bonaparte |
E316078
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Vieux Lyon |
E1026068
|
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: Vieux Lyon | Statement: [Pont Bonaparte, connects, Vieux Lyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vieux Lyon Context triple: [Pont Bonaparte, connects, Vieux Lyon]
-
A.
Vieux Lyon
chosen
Vieux Lyon is the historic Renaissance district of Lyon, France, known for its narrow cobbled streets, traboules (hidden passageways), and well-preserved medieval and Renaissance architecture.
-
B.
Traboules of Lyon
The Traboules of Lyon are a network of hidden passageways and courtyards running through buildings and connecting streets, historically used by silk workers and later by Resistance fighters, and now a distinctive architectural feature of the city.
-
C.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
-
D.
Lyons
Lyons is a sports team or athletic program associated with Wheaton College, commonly referred to by this shortened name.
-
E.
Lyons
Lyons is a common English and Irish surname borne by numerous notable individuals across sports, politics, arts, and other fields.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99020f710819094c2618662bdc7fd |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a51d458819080b8c8f3a4df0f52 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.