Triple
T15506838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Office System |
E379103
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | LisaList |
E375417
|
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: LisaList | Statement: [Lisa Office System, hasComponent, LisaList]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LisaList Context triple: [Lisa Office System, hasComponent, LisaList]
-
A.
LisaList
chosen
LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
-
B.
Lister
Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
-
C.
Lis
Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
-
D.
List
List is a German surname most notably borne by Friedrich List, a 19th-century economist known for his advocacy of national economic development and protectionism.
-
E.
litas
The litas was the national currency of Lithuania before the adoption of the euro.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.