Triple
T18720905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Earth and Environmental Engineering |
E457769
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | EEE |
—
|
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: EEE | Statement: [Department of Earth and Environmental Engineering, hasAbbreviation, EEE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EEE Context triple: [Department of Earth and Environmental Engineering, hasAbbreviation, EEE]
-
A.
EEE
chosen
EEE is the School of Electrical and Electronic Engineering at Nanyang Technological University, a leading institution for education and research in electrical and electronic engineering.
-
B.
EEE
EEE is the internal BBC production code assigned to the Doctor Who serial "Terror of the Autons."
-
C.
EE
EE is the internal BBC production code assigned to the classic Doctor Who serial "The Power of the Daleks."
-
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 (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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab9e0dc8190bf579d7e89e941f4 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.