Triple
T14959777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udayagiri and Khandagiri Caves |
E373032
|
entity |
| Predicate | numberOfCavesUdayagiri |
P116851
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Udayagiri and Khandagiri Caves, numberOfCavesUdayagiri, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCavesUdayagiri Context triple: [Udayagiri and Khandagiri Caves, numberOfCavesUdayagiri, 18]
-
A.
numberOfHinduCaves
Indicates the quantity of caves that are identified or classified as Hindu caves in relation to a given subject.
-
B.
numberOfJainCaves
Indicates the quantity of caves associated with Jainism that are present at or within a given entity or site.
-
C.
numberOfBuddhistCaves
Indicates the quantity of caves associated with Buddhism that are related to a given entity.
-
D.
caveNumber
Indicates a relationship where an entity is assigned or associated with a specific cave identifier or number.
-
E.
hasApproximateNumberOfCaves
Indicates that an entity is associated with an estimated or non-exact number of caves.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.