Triple
T22444220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globalize |
E554824
|
entity |
| Predicate | providesAPI |
P1395
|
FINISHED |
| Object | Globalize.messageFormatter |
—
|
NE NERFINISHED |
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: Globalize.messageFormatter | Statement: [Globalize, providesAPI, Globalize.messageFormatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Globalize.messageFormatter Context triple: [Globalize, providesAPI, Globalize.messageFormatter]
-
A.
MessageFormat.js
MessageFormat.js is a JavaScript library for internationalization that enables complex message formatting with pluralization, gender, and other locale-specific variations.
-
B.
Globalize
chosen
Globalize is a JavaScript library that provides internationalization and localization support for applications, including formatting and parsing of numbers, dates, currencies, and messages.
-
C.
java.text.MessageFormat
java.text.MessageFormat is a Java class used to produce locale-sensitive, parameterized messages by formatting strings with embedded placeholders.
-
D.
NSDateFormatter
NSDateFormatter is a Foundation framework class in Apple’s platforms used to convert between NSDate objects and their string representations according to specified date and time formats and locales.
-
E.
Unicode CLDR
Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.