Triple
T1738102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDS |
E37965
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object |
RDS2
RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
|
E193403
|
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: RDS2 | Statement: [RDS, hasSisterChannel, RDS2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RDS2 Context triple: [RDS, hasSisterChannel, RDS2]
-
A.
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
B.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
C.
RdR
RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
-
D.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
E.
RSL
RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
- 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: RDS2 Triple: [RDS, hasSisterChannel, RDS2]
Generated description
RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RDS2 Target entity description: RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
-
A.
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
B.
DSN
DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
-
C.
RdR
RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
-
D.
D-2
D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
-
E.
RSL
RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b03303c8190a301dca327bf9f47 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957e9a6c81909d52bf2def797526 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b6c03881909f278594e800c0f5 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.