Triple
T2281307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Compact |
E51284
|
entity |
| Predicate | favoured |
P12179
|
FINISHED |
| Object | landed interests |
—
|
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: landed interests | Statement: [Family Compact, favoured, landed interests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoured Context triple: [Family Compact, favoured, landed interests]
-
A.
favored
chosen
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
B.
dissolvedInFavorOf
Indicates that one entity has been formally terminated, annulled, or discontinued in order to benefit, support, or be replaced by another entity.
-
C.
fine
Indicates that an authority imposes a monetary penalty on an entity for violating a rule, law, or agreement.
-
D.
withdrewInFavorOf
Indicates that one party retracted or gave up its position, claim, or candidacy in support of another party.
-
E.
enjoys
Indicates that one entity derives pleasure, satisfaction, or positive feelings from another entity or activity.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21c405881908c4df7bee36136fe |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.