Triple
T36337233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenin statue (Seattle) |
E894819
|
entity |
| Predicate | hasBeenVandalized |
P175461
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lenin statue (Seattle), hasBeenVandalized, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenVandalized Context triple: [Lenin statue (Seattle), hasBeenVandalized, yes]
-
A.
wasVandalized
chosen
Indicates that an entity has been deliberately damaged, defaced, or destroyed through an act of vandalism.
-
B.
wasCensored
Indicates that an entity’s content, expression, or communication was suppressed, altered, or restricted by an authority or controlling party.
-
C.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
D.
isCorrupt
Indicates that an entity engages in dishonest, unethical, or illegal behavior, especially through abuse of power or position for personal gain.
-
E.
wasAttainted
Indicates that a person was legally declared guilty of a serious offense (often treason or felony), resulting in loss of civil rights, property, or titles.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:09 p.m.