Triple
T21312941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachmarhi Biosphere Reserve |
E525388
|
entity |
| Predicate | humanUseZone |
P63323
|
FINISHED |
| Object | Transition area with regulated human activities |
—
|
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: Transition area with regulated human activities | Statement: [Pachmarhi Biosphere Reserve, humanUseZone, Transition area with regulated human activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanUseZone Context triple: [Pachmarhi Biosphere Reserve, humanUseZone, Transition area with regulated human activities]
-
A.
zonedUse
Indicates the designated or permitted type of land use assigned to a property or area under zoning regulations.
-
B.
regulatedArea
chosen
Indicates that an area is subject to specific rules, controls, or restrictions imposed by an authority.
-
C.
hasNoCommercialZone
Indicates that the subject area or entity does not contain any designated commercial zone or commercial-use area.
-
D.
withinRecreationArea
Indicates that one entity is located inside the spatial bounds of a designated recreation area associated with another entity.
-
E.
zoningWithinPark
Indicates that a zoning area or designation lies entirely within the boundaries of a park.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dcb45f08190a9bcaa366964a2cb |
completed | April 21, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:25 p.m.