Triple
T17561271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST_Buffer |
E427699
|
entity |
| Predicate | positiveDistanceEffect |
P1634
|
FINISHED |
| Object | creates outward buffer (expand) for geometries |
—
|
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: creates outward buffer (expand) for geometries | Statement: [ST_Buffer, positiveDistanceEffect, creates outward buffer (expand) for geometries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positiveDistanceEffect Context triple: [ST_Buffer, positiveDistanceEffect, creates outward buffer (expand) for geometries]
-
A.
primaryEffect
chosen
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
B.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
C.
noConfidenceEffect
Indicates that the subject’s lack of confidence does not produce any significant influence or change on the object or outcome.
-
D.
negativePhaseAssociatedWith
Indicates an association between something and a negative or unfavorable phase, state, or stage in a process or condition.
-
E.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.