Triple
T5483124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCIE |
E123512
|
entity |
| Predicate | relatedTitle |
P914
|
FINISHED |
| Object | CIE |
E123514
|
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: CIE | Statement: [GCIE, relatedTitle, CIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIE Context triple: [GCIE, relatedTitle, CIE]
-
A.
CIE
chosen
CIE is the post-nominal abbreviation for a Companion of the Order of the Indian Empire, a British order of chivalry established during the period of the British Raj.
-
B.
CIEF
CIEF is the abbreviated name for the Canton Fair, China’s largest and oldest comprehensive trade exhibition held biannually in Guangzhou.
-
C.
GCIE
GCIE is the post-nominal title for a Knight Grand Commander of the Most Eminent Order of the Indian Empire, a former British order of chivalry associated with colonial India.
-
D.
CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
-
E.
CADE
CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd925deadc81908e193eeb75b63d90 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a4c67081909fb62ddcf0fb3047 |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:09 p.m.