Triple
T257914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ireland |
E5475
|
entity |
| Predicate | historicalRelationship |
P10260
|
FINISHED |
| Object | complex history with the United Kingdom |
—
|
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: complex history with the United Kingdom | Statement: [Ireland, historicalRelationship, complex history with the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRelationship Context triple: [Ireland, historicalRelationship, complex history with the United Kingdom]
-
A.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
B.
notableRelative
Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
-
C.
associatedWithDynasty
Indicates that an entity has a historical, political, cultural, or familial connection to a specific dynasty.
-
D.
associatedHeir
Indicates that one entity is designated or recognized as the heir connected to, or inheriting from, another entity.
-
E.
moreDistantlyRelatedTo
Indicates that one entity is related to another by a more distant or indirect relationship compared to some closer reference relationship.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25f9163f881909232f8aea502cf80 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.