Triple
T14105957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF1 Séries Films |
E339504
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object | LCI |
E339505
|
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: LCI | Statement: [TF1 Séries Films, hasSisterChannel, LCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LCI Context triple: [TF1 Séries Films, hasSisterChannel, LCI]
-
A.
LCI
chosen
LCI is a French 24-hour television news channel owned by the TF1 Group.
-
B.
LICC
LICC is the ICAO airport code for Catania–Fontanarossa Airport, a major international airport serving the city of Catania in Sicily, Italy.
-
C.
LICC
LICC is a UK-based Christian organization that equips and resources Christians to live out their faith in everyday life, work, and culture.
-
D.
LCI (Life Cycle Impulse)
LCI (Life Cycle Impulse) is BMW’s term for a mid-cycle refresh that updates a model’s design, technology, and features without a full redesign.
-
E.
LCI news channel
LCI news channel is a French 24-hour television news network known for its continuous coverage of national and international current affairs.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.