Triple
T7124448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assam State Zoo cum Botanical Garden |
E166024
|
entity |
| Predicate | zooArea |
P74998
|
FINISHED |
| Object | about 130 hectares |
—
|
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: about 130 hectares | Statement: [Assam State Zoo cum Botanical Garden, zooArea, about 130 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zooArea Context triple: [Assam State Zoo cum Botanical Garden, zooArea, about 130 hectares]
-
A.
zooSection
Indicates that one entity is a specific section or area within a zoo where the other entity is located, organized, or assigned.
-
B.
zooType
Indicates the classification or category of a zoo, such as its type or kind.
-
C.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
D.
zooSectionType
Indicates the specific type or category of section within a zoo that an area or enclosure belongs to.
-
E.
zooAccreditation
Indicates that an entity (such as a zoo or aquarium) holds a formal accreditation or certification from a recognized accrediting organization.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64c0f688190a9b7482d86c2f033 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.