Triple
T15831161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon bus network |
E383874
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | TCL network |
E487436
|
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 network | Statement: [Lyon bus network, partOf, TCL network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCL network Context triple: [Lyon bus network, partOf, TCL network]
-
A.
TCL
chosen
TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
-
B.
TCL
TCL is the FAA location identifier code for Tuscaloosa National Airport in Tuscaloosa, Alabama.
-
C.
TCL Corporation
TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
-
D.
Xiaomi smart TVs
Xiaomi smart TVs are internet-connected televisions from Chinese electronics company Xiaomi, known for their affordable pricing, smart features, and integration with the PatchWall content recommendation interface.
-
E.
T-Com
T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6433ac8190a3d3e0d573673ea3 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999f9ccc8190bc859c2b78a16baf |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.