Triple
T7124449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assam State Zoo cum Botanical Garden |
E166024
|
entity |
| Predicate | botanicalGardenArea |
P27103
|
FINISHED |
| Object | about 45 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 45 hectares | Statement: [Assam State Zoo cum Botanical Garden, botanicalGardenArea, about 45 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: botanicalGardenArea Context triple: [Assam State Zoo cum Botanical Garden, botanicalGardenArea, about 45 hectares]
-
A.
hasBotanicalGardenArea_ha
chosen
Indicates that an entity possesses a botanical garden whose area is measured in hectares.
-
B.
hasBotanicalGarden
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
C.
plantArea
Indicates the total surface area occupied or covered by a plant or group of plants.
-
D.
OrtoBotanicoDiPadovaStatus
Indicates the current operational or preservation status of the Orto Botanico di Padova.
-
E.
hasCourtyardArea
Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
- 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_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. |
Created at: March 27, 2026, 2:44 p.m.