Triple
T18557840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICE Global Energy Markets |
E453550
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ICE Endex |
—
|
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: ICE Endex | Statement: [ICE Global Energy Markets, relatedTo, ICE Endex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICE Endex Context triple: [ICE Global Energy Markets, relatedTo, ICE Endex]
-
A.
ICE Endex
chosen
ICE Endex is a European energy derivatives and spot gas exchange platform specializing in natural gas and power markets.
-
B.
ICE
ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
-
C.
ICE
ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
-
D.
ICE
ICE (Interactive Connectivity Establishment) is a framework used in real-time communication systems to discover and negotiate network paths for peer-to-peer connections across NATs and firewalls.
-
E.
ICE
ICE is a research institute at Johns Hopkins University focused on advancing the understanding and engineering of cells for biomedical applications.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53808028c8190825630525d84a29b |
completed | April 19, 2026, 8:16 p.m. |
Created at: April 10, 2026, 11:41 a.m.