Triple
T37617335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenin monument pedestal |
E935958
|
entity |
| Predicate | formerHasPart |
P203026
|
FINISHED |
| Object | statue of Vladimir Lenin |
—
|
NE NERFINISHED |
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: statue of Vladimir Lenin | Statement: [Lenin monument pedestal, formerHasPart, statue of Vladimir Lenin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerHasPart Context triple: [Lenin monument pedestal, formerHasPart, statue of Vladimir Lenin]
-
A.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
-
D.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
-
E.
has part or member
Indicates that one entity is a component, constituent, or member of another, larger whole.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
| PDg | Predicate description generation | batch_6a0115fadcec8190bd1be2b44c1fc397 |
completed | May 10, 2026, 11:34 p.m. |
Created at: May 3, 2026, 4:18 p.m.