Triple
T15995031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hénon metro station |
E387939
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | TCL ticketing system |
E487753
|
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: TCL ticketing system | Statement: [Hénon metro station, fareSystem, TCL ticketing system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCL ticketing system Context triple: [Hénon metro station, fareSystem, TCL ticketing system]
-
A.
TCL fare system
chosen
The TCL fare system is the integrated public transport ticketing and pricing network used across Lyon’s buses, trams, and metro services.
-
B.
TCL bus network
The TCL bus network is the public bus system serving Lyon and its surrounding metropolitan area in France.
-
C.
TCK
TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
-
D.
TCK
TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
-
E.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785fad48190af0556e7ddfd29c5 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d5d72081908aa235c5ad9b5707 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.