Triple
T37540181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake of Kalandra |
E933305
|
entity |
| Predicate | patchVersion |
P188176
|
FINISHED |
| Object | 3.19.0 |
—
|
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: 3.19.0 | Statement: [Lake of Kalandra, patchVersion, 3.19.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patchVersion Context triple: [Lake of Kalandra, patchVersion, 3.19.0]
-
A.
patchNumber
chosen
Indicates the specific patch or incremental update identifier associated with a software version or release.
-
B.
patchVersionAtStart
Indicates that the patch version of an entity is recorded or applicable at the beginning of a specified period or process.
-
C.
releaseVersion
Indicates the specific version identifier associated with a particular release of something (e.g., software, product, or document).
-
D.
puncturedVersion
Indicates that one entity is a modified or altered version of another, specifically created by introducing a puncture or hole.
-
E.
patchName
Indicates the specific name or identifier assigned to a software patch applied to an entity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.