Triple
T24023815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avant |
E594895
|
entity |
| Predicate | distinctionFromAVE |
P154905
|
FINISHED |
| Object | focus on medium-distance rather than long-distance |
—
|
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: focus on medium-distance rather than long-distance | Statement: [Avant, distinctionFromAVE, focus on medium-distance rather than long-distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromAVE Context triple: [Avant, distinctionFromAVE, focus on medium-distance rather than long-distance]
-
A.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
distinctionFromPeers
Indicates a relationship where an entity stands out or is differentiated from its peers based on notable characteristics, performance, or attributes.
-
C.
distinctionFromOtherCategories
Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
-
D.
uniformDistinction
Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
-
E.
distinctionFormulatedBy
Indicates that a particular conceptual or categorical distinction was defined, articulated, or formally introduced by a specific agent or source.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7680d5c81908d6a670159879236 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:52 p.m.