Triple
T14343711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | java.text |
E355661
|
entity |
| Predicate | containsClass |
P9272
|
FINISHED |
| Object | java.text.AttributedCharacterIterator |
E355661
|
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: java.text.AttributedCharacterIterator | Statement: [java.text, containsClass, java.text.AttributedCharacterIterator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: java.text.AttributedCharacterIterator Context triple: [java.text, containsClass, java.text.AttributedCharacterIterator]
-
A.
Carbon ATSUI text APIs
Carbon ATSUI text APIs were Apple’s legacy Mac OS X text layout and rendering interfaces designed to support advanced typography during the transition from classic Mac OS to modern OS X technologies.
-
B.
java.text
chosen
java.text is a Java standard library package that provides classes and interfaces for formatting and parsing text, dates, numbers, and messages in a locale-sensitive manner.
-
C.
NSAttributedString
NSAttributedString is a Foundation framework class that represents immutable strings with associated attributes such as fonts, colors, and styles for rich text rendering.
-
D.
Unicode bidirectional algorithm
The Unicode bidirectional algorithm is a core text-processing method that determines the correct display order of mixed left-to-right and right-to-left scripts, such as Latin and Arabic, in digital text.
-
E.
Unicode text processing algorithms
Unicode text processing algorithms are standardized procedures that define how Unicode text is compared, sorted, segmented, normalized, and otherwise manipulated consistently across different systems and languages.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.