Triple
T22730829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goenkale |
E562128
|
entity |
| Predicate | originallyAiredOnChannel |
P16461
|
FINISHED |
| Object | ETB 1 |
—
|
NE NERFINISHED |
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: ETB 1 | Statement: [Goenkale, originallyAiredOnChannel, ETB 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETB 1 Context triple: [Goenkale, originallyAiredOnChannel, ETB 1]
-
A.
ETB1
chosen
ETB1 is a creative work featuring the character Nekane Amaya.
-
B.
ETB
ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
-
C.
ETM
ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
-
D.
ETM
ETM is the stock ticker symbol for Audacy, Inc., a major American radio broadcasting and digital audio company formerly known as Entercom Communications.
-
E.
ETM
ETM (Enhanced Thematic Mapper) is a multispectral imaging sensor used on Landsat satellites to capture high-resolution Earth observation data across visible, infrared, and thermal bands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792cb9cc8190a7c45032427bca1a |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.