Triple
T3234047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TF1 Group |
E67807
|
entity |
| Predicate | operatesChannel |
P5884
|
FINISHED |
| Object |
TFX
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
|
E339503
|
NE FINISHED |
How this triple was built (4 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: TFX | Statement: [TF1 Group, operatesChannel, TFX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFX Context triple: [TF1 Group, operatesChannel, TFX]
-
A.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
B.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
C.
F train
The F train is a New York City Subway service that runs primarily along the IND Sixth Avenue Line in Manhattan, connecting neighborhoods in Queens, Manhattan, and Brooklyn.
-
D.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
E.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TFX Triple: [TF1 Group, operatesChannel, TFX]
Generated description
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TFX Target entity description: TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
-
A.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
B.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
C.
F train
The F train is a New York City Subway service that runs primarily along the IND Sixth Avenue Line in Manhattan, connecting neighborhoods in Queens, Manhattan, and Brooklyn.
-
D.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
E.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
- F. None of above. chosen
Provenance (5 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedcd9588190b3623f0109d653a4 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b277404f6c8190803cf67cc8423430 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27844c6708190ac61f00a74a2ef27 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27911ff1481908a36f279a871c510 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.