Triple
T6542991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninh Binh Province |
E168334
|
entity |
| Predicate | hasKarstSystem |
P1094
|
FINISHED |
| Object | limestone karst towers |
—
|
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: limestone karst towers | Statement: [Ninh Binh Province, hasKarstSystem, limestone karst towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKarstSystem Context triple: [Ninh Binh Province, hasKarstSystem, limestone karst towers]
-
A.
hasSpeleothems
Indicates that a cave or subterranean space contains speleothems (mineral formations such as stalactites, stalagmites, or similar deposits).
-
B.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
C.
hasFissureSystem
Indicates that an entity possesses or is characterized by a system of fissures or cracks.
-
D.
hasGeyser
Indicates that one entity possesses, contains, or features a geyser as part of its characteristics or composition.
-
E.
hasNaturalFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.