Triple
T12281518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FileCheck |
E292725
|
entity |
| Predicate | invokedAs |
P2506
|
FINISHED |
| Object | filecheck |
E292725
|
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: filecheck | Statement: [FileCheck, invokedAs, filecheck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: filecheck Context triple: [FileCheck, invokedAs, filecheck]
-
A.
FileCheck
chosen
FileCheck is an LLVM utility used to verify the output of compiler tests by matching it against patterns embedded in test files.
-
B.
FCHK
FCHK is the commonly used abbreviation for FC Hradec Králové, a professional football club based in Hradec Králové, Czech Republic.
-
C.
HFiles
HFiles are the immutable, sorted, file-based storage format used by Apache HBase to persist table data efficiently on disk.
-
D.
Be File System
Be File System (BFS) is a 64-bit journaling file system originally developed for BeOS, known for its support of extended attributes and efficient indexing.
-
E.
File on 4
File on 4 is a long-running BBC Radio 4 investigative journalism programme known for in-depth reports on current affairs, public policy, and social issues.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.