Triple
T219440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of New York |
E4180
|
entity |
| Predicate | successionTrigger |
P8213
|
FINISHED |
| Object | death of the Governor of New York |
—
|
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: death of the Governor of New York | Statement: [Lieutenant Governor of New York, successionTrigger, death of the Governor of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successionTrigger Context triple: [Lieutenant Governor of New York, successionTrigger, death of the Governor of New York]
-
A.
successionOrder
Indicates the ordered sequence in which entities are designated to succeed or take over a role, position, or title.
-
B.
successionDefinedBy
Indicates that the rules, order, or conditions of succession for one entity are determined or specified by another entity.
-
C.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
D.
successorDesignated
Indicates that one entity has been formally chosen or named to take over the role, position, or responsibilities of another entity in the future.
-
E.
successorBody
Indicates that one body or entity directly follows and replaces another in a sequence or succession.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c6d0fa08190810139b14f4851bc |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5357bc8190b29a48e3053fb76d |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.