Triple
T14440976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache OpenOffice |
E358080
|
entity |
| Predicate | supportsScriptingLanguage |
P203
|
FINISHED |
| Object | BeanShell |
E761752
|
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: BeanShell | Statement: [Apache OpenOffice, supportsScriptingLanguage, BeanShell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BeanShell Context triple: [Apache OpenOffice, supportsScriptingLanguage, BeanShell]
-
A.
BeanShell
chosen
BeanShell is a lightweight, Java-like scripting language that allows dynamic execution and scripting within Java-based applications.
-
B.
JSL
JSL is the primary sign language used by the Deaf community in Jamaica, with its own distinct grammar and vocabulary.
-
C.
LScript
LScript is a scripting language used to automate tasks and extend functionality within the LightWave 3D computer graphics and animation software.
-
D.
BrainScript
BrainScript is a domain-specific scripting language developed for defining and training neural networks within the Microsoft Cognitive Toolkit (CNTK).
-
E.
Planjava
Planjava is a prominent mountain peak in Slovenia’s Kamnik–Savinja Alps, known for its steep faces and popularity among climbers and hikers.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bda6ee88190aeec77092eb3576a |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.