Triple
T14106239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCI |
E339511
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | TFX |
E339503
|
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: TFX | Statement: [LCI, sisterChannel, TFX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFX Context triple: [LCI, sisterChannel, TFX]
-
A.
TFX
chosen
TFX is a French television channel owned and operated by the TF1 Group, offering a mix of entertainment, series, and reality programming.
-
B.
TFX
TFX is an end-to-end production machine learning platform built on TensorFlow that supports scalable data processing, model training, validation, and deployment.
-
C.
TXP
TXP is the station code used to identify Tianjin West Railway Station in China’s railway network.
-
D.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
E.
TFB
TFB is the acronym commonly used to refer to the Task Force Bureau, an organized body typically responsible for coordinating specialized operations or initiatives.
- 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_69fd3243360c819084a524af2e452863 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:22 p.m.