Triple
T9004018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation framework |
E215098
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | NSDate |
E236685
|
NE 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: NSDate | Statement: [Foundation framework, includes, NSDate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSDate Context triple: [Foundation framework, includes, NSDate]
-
A.
NSDate
chosen
NSDate is an Objective-C class in Apple’s Foundation framework that represents a specific point in time for use in macOS and iOS applications.
-
B.
datetime
datetime is a Python standard library module that supplies classes for manipulating dates, times, and time intervals.
-
C.
Date
Date is an HTTP header field that indicates the date and time at which the message was originated, formatted according to internet date/time standards.
-
D.
The Calendar
"The Calendar" is a crime thriller play by Edgar Wallace that blends mystery and melodrama around horse racing and high society intrigue.
-
E.
OurTime
OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e3f0c88190ae688632be25e5c9 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.