Triple
T25920199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shape operator |
E653147
|
entity |
| Predicate | rankInformation |
P167729
|
FINISHED |
| Object | rank gives information about flat directions on the surface |
—
|
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: rank gives information about flat directions on the surface | Statement: [shape operator, rankInformation, rank gives information about flat directions on the surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInformation Context triple: [shape operator, rankInformation, rank gives information about flat directions on the surface]
-
A.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
B.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
-
C.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
E.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 22, 2026, 8:32 a.m.