Triple
T141930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companion of Honour |
E2871
|
entity |
| Predicate | recipientsMayUse |
P6783
|
FINISHED |
| Object | post-nominal letters CH |
—
|
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: post-nominal letters CH | Statement: [Companion of Honour, recipientsMayUse, post-nominal letters CH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recipientsMayUse Context triple: [Companion of Honour, recipientsMayUse, post-nominal letters CH]
-
A.
scopeOfRecipients
Indicates the range or group of recipients to whom something (such as information, communication, or benefits) is directed or applicable.
-
B.
coRecipientWith
Indicates that two or more entities receive the same item, benefit, or communication together as joint recipients.
-
C.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
D.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
-
E.
hasTypeOfRecipient
Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
- F. None of above. chosen
Provenance (4 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.