Triple
T4306967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tskaltubo |
E99976
|
entity |
| Predicate | hasCurrentIssue |
P21382
|
FINISHED |
| Object | abandoned sanatorium buildings |
—
|
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: abandoned sanatorium buildings | Statement: [Tskaltubo, hasCurrentIssue, abandoned sanatorium buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentIssue Context triple: [Tskaltubo, hasCurrentIssue, abandoned sanatorium buildings]
-
A.
currentIssue
chosen
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
-
B.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
C.
isCurrent
Indicates that something is presently valid, active, or up to date at the current point in time.
-
D.
hasTargetIssue
Indicates that an entity is associated with or directed toward a specific issue, problem, or concern as its focus.
-
E.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:09 p.m.