Triple
T24703770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumento à Paz |
E611830
|
entity |
| Predicate | hasVerticalEmphasis |
P98786
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Monumento à Paz, hasVerticalEmphasis, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerticalEmphasis Context triple: [Monumento à Paz, hasVerticalEmphasis, true]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
C.
hasVerticalMotion
Indicates that an entity is undergoing or exhibiting motion in the vertical direction (upward or downward).
-
D.
hasVerticalSection
chosen
Indicates that one entity possesses or includes a distinct vertical section or segment as part of its structure or representation.
-
E.
hasAccentPosition
Indicates the position within a word or phrase where the primary accent or stress is placed.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:23 a.m.