Triple
T1457255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaziranga National Park |
E31425
|
entity |
| Predicate | originalStatus |
P26849
|
FINISHED |
| Object | reserve forest |
—
|
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: reserve forest | Statement: [Kaziranga National Park, originalStatus, reserve forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalStatus Context triple: [Kaziranga National Park, originalStatus, reserve forest]
-
A.
originalTextStatus
Indicates the relationship between a text and its current state or condition relative to its original, unmodified form.
-
B.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
C.
earlierStatus
chosen
Indicates that one status or condition occurred or was valid before another status in time.
-
D.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
originalRelease
Indicates the initial publication or first official release event of a work or product.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c598b30c8190b87207adf608b89a |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.