Triple
T14687595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron St Helens |
E344951
|
entity |
| Predicate | hasRemainderTo |
P115328
|
FINISHED |
| Object | heirs male of the body of the grantee |
—
|
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: heirs male of the body of the grantee | Statement: [Baron St Helens, hasRemainderTo, heirs male of the body of the grantee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemainderTo Context triple: [Baron St Helens, hasRemainderTo, heirs male of the body of the grantee]
-
A.
hasRemainsOf
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
B.
hasQuotient
Indicates that one quantity or entity is the result of dividing another quantity or entity by a specified divisor.
-
C.
hasFraction
Indicates that one entity represents a fractional part or proportion of another entity.
-
D.
remainedIn
Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
-
E.
hasSubsequent
Indicates that one entity occurs, appears, or is positioned after another in a defined sequence or order.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.