Triple
T33924121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Porchester |
E869700
|
entity |
| Predicate | ceasesWhen |
P70625
|
FINISHED |
| Object | holder succeeds as Earl of Carnarvon |
—
|
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: holder succeeds as Earl of Carnarvon | Statement: [Lord Porchester, ceasesWhen, holder succeeds as Earl of Carnarvon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasesWhen Context triple: [Lord Porchester, ceasesWhen, holder succeeds as Earl of Carnarvon]
-
A.
terminatesOn
Indicates that one process, event, or state causes or marks the ending of another at a specific time or condition.
-
B.
statusEndsWhen
chosen
Indicates that a particular status or condition ceases to hold when a specified event, time, or state occurs.
-
C.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
D.
terminationCondition
Indicates the condition or set of conditions under which an ongoing process, activity, or relationship is brought to an end.
-
E.
terminateIn
Indicates that one entity ends, concludes, or comes to a stop within, at, or because of another entity or condition.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.