Triple
T2889530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XEmacs |
E59584
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Java |
E13745
|
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 | Statement: [XEmacs, supportsLanguage, Java]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Java Context triple: [XEmacs, supportsLanguage, Java]
-
A.
Java
Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
-
B.
Java
chosen
Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
-
C.
Javakade
Javakade is a waterfront street on Amsterdam’s Java Island known for its modern residential architecture and harborside views.
-
D.
Java Platform, Standard Edition
Java Platform, Standard Edition (Java SE) is the core Java computing platform that provides the fundamental libraries, virtual machine, and tools for developing and running general-purpose Java applications on desktops and servers.
-
E.
AVA
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04a68ac8190aaeafe52138beb74 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03179d7448190bcdbea164856aaa2 |
completed | March 10, 2026, 2:58 p.m. |
Created at: March 6, 2026, 10:04 p.m.