Triple
T1825506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Gagarin Monument in Moscow |
E40643
|
entity |
| Predicate | hasMonumentalCharacter |
P6202
|
FINISHED |
| Object | towering statue |
—
|
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: towering statue | Statement: [Yuri Gagarin Monument in Moscow, hasMonumentalCharacter, towering statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonumentalCharacter Context triple: [Yuri Gagarin Monument in Moscow, hasMonumentalCharacter, towering statue]
-
A.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
-
B.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
-
C.
significantMonument
chosen
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
D.
isMonumentalTree
Indicates that a tree is officially recognized as exceptionally significant, typically due to its age, size, rarity, historical, cultural, or ecological importance.
-
E.
hasIconicArtifact
Indicates that an entity possesses or is associated with a distinctive, emblematic artifact that represents its identity, history, or significance.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.