Triple
T944126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MySpace |
E20372
|
entity |
| Predicate | peakUserCountTime |
P3813
|
FINISHED |
| Object | around 2008 |
—
|
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: around 2008 | Statement: [MySpace, peakUserCountTime, around 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakUserCountTime Context triple: [MySpace, peakUserCountTime, around 2008]
-
A.
popularInPeriod
chosen
Indicates that something is widely liked, used, or influential during a specified time period.
-
B.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
C.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
D.
circulationUsers
Indicates a relationship where users are involved in or affected by the circulation or lending of items within a system.
-
E.
collectionTimespan
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a3ed3881908386af140477c514 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.