Triple
T13636763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CWR |
E325867
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ECE |
E325866
|
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: ECE | Statement: [CWR, relatedTo, ECE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECE Context triple: [CWR, relatedTo, ECE]
-
A.
ECE
chosen
ECE is the Explicit Congestion Experienced flag used in IP and TCP headers to indicate network congestion without dropping packets, as defined in RFC 3168’s ECN mechanism.
-
B.
EECE
EECE is the commonly used abbreviation for the Department of Energy, Environmental & Chemical Engineering, an academic unit focused on research and education in sustainable energy, environmental protection, and chemical processes.
-
C.
EEECS
EEECS is the abbreviated name for the School of Electronics, Electrical Engineering and Computer Science, an academic unit focused on education and research in these engineering and computing disciplines.
-
D.
EE
EE is the two-letter country code for Estonia, a Northern European nation on the Baltic Sea.
-
E.
EE
EE is a major British mobile network operator and internet service provider known for its extensive 4G and 5G coverage across the UK.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af297008190b12256c936714213 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.