Triple
T11321367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanheri Hill |
E268100
|
entity |
| Predicate | hasApproximateNumberOfCaves |
P98490
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Kanheri Hill, hasApproximateNumberOfCaves, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfCaves Context triple: [Kanheri Hill, hasApproximateNumberOfCaves, over 100]
-
A.
hasCaves
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
B.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
C.
hasNearbyCave
Indicates that one entity is located close to or in the vicinity of a cave associated with another entity.
-
D.
cavesUsedFor
Indicates that certain caves are utilized for a particular purpose, activity, or function by an entity.
-
E.
caveType
Indicates the specific classification or kind of cave associated with an entity.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.