Triple
T17217906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2RN |
E417898
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | RTÉNL |
E331128
|
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: RTÉNL | Statement: [2RN, formerName, RTÉNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTÉNL Context triple: [2RN, formerName, RTÉNL]
-
A.
RTE
RTE is the French transmission system operator responsible for managing and operating France’s high-voltage electricity grid.
-
B.
RTÉ
chosen
RTÉ is Ireland’s national public service broadcaster, providing television, radio, and online media services.
-
C.
HRTV
HRTV is a television network dedicated to horse racing coverage, analysis, and related equestrian programming.
-
D.
RNLN
RNLN is the abbreviation commonly used for the Royal Netherlands Navy, the maritime branch of the Dutch armed forces.
-
E.
RRTL
RRTL is the stock ticker symbol for RTL Group, a leading European entertainment company specializing in television, radio, and digital media.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.