Triple
T32025350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anand Variation |
E817801
|
entity |
| Predicate | typicalResultTendency |
P19224
|
FINISHED |
| Object | balanced chances |
—
|
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: balanced chances | Statement: [Anand Variation, typicalResultTendency, balanced chances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalResultTendency Context triple: [Anand Variation, typicalResultTendency, balanced chances]
-
A.
hasTendency
chosen
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
B.
tends
Indicates that one entity regularly or characteristically behaves in a certain way or moves toward a particular state or outcome in relation to another.
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
hasRadialTrendToward
Indicates a relationship in which something exhibits a pattern, orientation, or change that progresses inward toward a central point or axis.
-
E.
continuedTrend
Indicates that a previously observed pattern or direction in some variable or behavior persists over a subsequent time period without significant change.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:17 a.m.