Triple
T11034079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT&T Station |
E260830
|
entity |
| Predicate | hasPeakUsageDuring |
P34607
|
FINISHED |
| Object | sporting events |
—
|
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: sporting events | Statement: [AT&T Station, hasPeakUsageDuring, sporting events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakUsageDuring Context triple: [AT&T Station, hasPeakUsageDuring, sporting events]
-
A.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
B.
usagePeak
chosen
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
C.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
D.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
E.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e709648190adbb05197e15ff76 |
completed | April 9, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69d7440087ac8190aef2e6f6b13b2635 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:25 p.m.