Triple
T19557615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lensky District |
E489356
|
entity |
| Predicate | locatedInAsia |
P136571
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lensky District, locatedInAsia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInAsia Context triple: [Lensky District, locatedInAsia, true]
-
A.
locatedInOceania
Indicates that one entity is geographically situated within the region of Oceania.
-
B.
locatedInIslandNation
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
-
C.
isInSoutheastAsia
Indicates that a place or entity is geographically located within the region of Southeast Asia.
-
D.
isInSubcontinent
Indicates that one entity (typically a place or region) is geographically located within the boundaries of a specified subcontinent.
-
E.
foundedInSubcontinent
Indicates that an entity was founded or established within a specific geographic subcontinent.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51796b4c48190b721114dde654bd7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 1:42 p.m.