Triple
T364761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Academy of Engineering |
E7933
|
entity |
| Predicate | grantsTitle |
P2680
|
FINISHED |
| Object | Fellow of the Royal Academy of Engineering |
—
|
LITERAL 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: Fellow of the Royal Academy of Engineering | Statement: [Royal Academy of Engineering, grantsTitle, Fellow of the Royal Academy of Engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsTitle Context triple: [Royal Academy of Engineering, grantsTitle, Fellow of the Royal Academy of Engineering]
-
A.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
B.
awardsTitle
chosen
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
C.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
D.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
E.
title
Indicates that one entity serves as the formal name or designation of another entity.
- F. None of above.
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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe6c1b4819083335e880c205ed6 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.