Triple
T27394999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahanandi |
E691653
|
entity |
| Predicate | nearbyWildlifeArea |
P20592
|
FINISHED |
| Object | Nallamala forest |
—
|
NE NERFINISHED |
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: Nallamala forest | Statement: [Mahanandi, nearbyWildlifeArea, Nallamala forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyWildlifeArea Context triple: [Mahanandi, nearbyWildlifeArea, Nallamala forest]
-
A.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
B.
hasNearbyWildernessArea
chosen
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
C.
hasNearbyWildlifeRefuge
Indicates that something is located close to or in the vicinity of a designated wildlife refuge.
-
D.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
E.
hasWildlifeObservationPoints
Indicates that a location or area includes designated points or spots where wildlife can be observed.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 12:27 p.m.