Triple
T8806939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Division |
E209554
|
entity |
| Predicate | honoursField |
P4123
|
FINISHED |
| Object | arts and sciences |
—
|
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: arts and sciences | Statement: [Civil Division, honoursField, arts and sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursField Context triple: [Civil Division, honoursField, arts and sciences]
-
A.
honoursPosition
Indicates that one entity holds or is recognized with an honorary or distinguished position in relation to another entity.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
honoursTitle
Indicates that an entity holds or is designated by a formal honorific or honorary title.
-
D.
honoursSystem
Indicates that an entity follows or complies with a particular system of rules, standards, or principles.
-
E.
honourType
chosen
Indicates the specific category or classification of an honour or award associated with an 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd1f1a08190a2e584f6b0495f5c |
completed | March 31, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:45 p.m.