Triple
T364738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Academy of Engineering |
E7933
|
entity |
| Predicate | usesTitleForMembers |
P9146
|
FINISHED |
| Object | FREng |
—
|
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: FREng | Statement: [Royal Academy of Engineering, usesTitleForMembers, FREng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTitleForMembers Context triple: [Royal Academy of Engineering, usesTitleForMembers, FREng]
-
A.
memberTitle
Indicates the formal title or designation held by a member within a group, organization, or body.
-
B.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
C.
usedAsTitleBeforeName
chosen
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
D.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
E.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
- 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.