Triple
T9945438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LILO |
E195191
|
entity |
| Predicate | commandLineTool |
P25602
|
FINISHED |
| Object | lilo |
E195191
|
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: lilo | Statement: [LILO, commandLineTool, lilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lilo Context triple: [LILO, commandLineTool, lilo]
-
A.
LILO
chosen
LILO is a classic Linux bootloader that was widely used on early Linux distributions to load operating systems at startup.
-
B.
LFS
LFS (Log-structured File System) is a file system design that writes all data sequentially in a log-like structure to optimize write performance and crash recovery, and is implemented in NetBSD.
-
C.
Dracut
Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
-
D.
Luks
Luks is the surname of American realist painter and Ashcan School member George Luks.
-
E.
LÖ
LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb61561848190aba7250f3b3c4ed5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292257bc8190b3a15de60d7c9ba2 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.