Triple
T14106196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF1 |
E339510
|
entity |
| Predicate | cableService |
P48296
|
FINISHED |
| Object | Numericable-SFR |
E326752
|
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: Numericable-SFR | Statement: [TF1, cableService, Numericable-SFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numericable-SFR Context triple: [TF1, cableService, Numericable-SFR]
-
A.
SFR
chosen
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
B.
Numéro
Numéro is a French international fashion magazine known for its high-end editorial photography and coverage of luxury fashion, art, and culture.
-
C.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
D.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
E.
Nnssf
Nnssf is a 5G core network service-based interface used by network functions to interact with the Network Slice Selection Function (NSSF) for slice selection and related operations.
- 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_69fcd0b48e448190b4fb8cb33e5d97e6 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.