Triple
T2629727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MinGW |
E59602
|
entity |
| Predicate | previousRepository |
P42343
|
FINISHED |
| Object | https://sourceforge.net/projects/mingw/ |
—
|
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: https://sourceforge.net/projects/mingw/ | Statement: [MinGW, previousRepository, https://sourceforge.net/projects/mingw/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousRepository Context triple: [MinGW, previousRepository, https://sourceforge.net/projects/mingw/]
-
A.
previousStructure
Indicates that one structure directly precedes another in a defined sequence or configuration.
-
B.
previousVersionAdopted
Indicates that one entity has been adopted or implemented as a successor to an earlier version represented by the other entity.
-
C.
predecessorVersion
Indicates that one entity is an earlier or prior version in a version sequence relative to another entity.
-
D.
previousVersionLocationOfAdoption
Indicates that one entity is the location where an earlier or prior version of another entity was adopted.
-
E.
previousCommand
Indicates that one command directly precedes another in a sequence of executed commands.
- F. None of above. chosen
Provenance (4 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdb0bf9b881908b239c1310c7bbf3 |
completed | March 7, 2026, 8 a.m. |
Created at: March 6, 2026, 9:50 p.m.