Triple
T8022592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTLDR |
E186771
|
entity |
| Predicate | associatedFile |
P70956
|
FINISHED |
| Object | boot.ini |
—
|
LITERAL 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: boot.ini | Statement: [NTLDR, associatedFile, boot.ini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFile Context triple: [NTLDR, associatedFile, boot.ini]
-
A.
associatedItem
chosen
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
-
B.
associatedFort
Indicates that one entity is connected or linked to a particular fort, typically as its related or corresponding fortification.
-
C.
linkedDocument
Indicates that one document is associated with or references another document in a meaningful way.
-
D.
associatedSingle
Indicates a one-to-one association where an entity is linked to exactly one corresponding related entity.
-
E.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
- F. None of above.
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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8fb6788190a16413051ec26988 |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.