Triple
T17400035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Caves |
E423060
|
entity |
| Predicate | distanceToCapricornCaves |
P73138
|
FINISHED |
| Object | approximately 7 kilometres north |
—
|
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: approximately 7 kilometres north | Statement: [The Caves, distanceToCapricornCaves, approximately 7 kilometres north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCapricornCaves Context triple: [The Caves, distanceToCapricornCaves, approximately 7 kilometres north]
-
A.
undergroundCavernLength
Indicates the measured linear extent or distance from one end to the other of an underground cavern.
-
B.
hasNearbyCave
chosen
Indicates that one entity is located close to or in the vicinity of a cave associated with another entity.
-
C.
hasApproximateNumberOfCaves
Indicates that an entity is associated with an estimated or non-exact number of caves.
-
D.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
E.
caveType
Indicates the specific classification or kind of cave associated with 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.