Triple
T1129986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High-A |
E23005
|
entity |
| Predicate | isAboveLevel |
P13790
|
FINISHED |
| Object | Low-A |
—
|
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: Low-A | Statement: [High-A, isAboveLevel, Low-A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAboveLevel Context triple: [High-A, isAboveLevel, Low-A]
-
A.
hasLevel
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
-
B.
isElevatedOrAtGradeIn
Indicates that one entity is positioned either above ground level (elevated) or directly at ground level (at grade) within the context of another entity or environment.
-
C.
isHigherThan
chosen
Indicates that one entity has a greater value, level, or position than another entity.
-
D.
meetsAtLevel
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
E.
isRankedAbove
Indicates that one entity holds a higher position or status in an ordered ranking than another entity.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.