Triple
T4080009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent (football) |
E87453
|
entity |
| Predicate | temporalVariation |
P44297
|
FINISHED |
| Object | number of independent programs changes over time |
—
|
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: number of independent programs changes over time | Statement: [Independent (football), temporalVariation, number of independent programs changes over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporalVariation Context triple: [Independent (football), temporalVariation, number of independent programs changes over time]
-
A.
temporalAspect
Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
-
B.
temporalEffect
Indicates a relationship where one event, state, or action produces consequences or changes that occur at a later time.
-
C.
timeDependence
chosen
Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
-
D.
flowVariation
Indicates how the rate or pattern of flow (such as water, traffic, or data) changes over time or across different conditions.
-
E.
temporalRelation
Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5087b081909d6042bfe8d8a306 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.