Triple
T22314372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalitpur District |
E551602
|
entity |
| Predicate | hasNotableArea |
P494
|
FINISHED |
| Object | Godawari forest |
—
|
NE NERFINISHED |
How this triple was built (3 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: Godawari forest | Statement: [Lalitpur District, hasNotableArea, Godawari forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Godawari forest Context triple: [Lalitpur District, hasNotableArea, Godawari forest]
-
A.
Ananthagiri forest
Ananthagiri forest is a scenic, densely wooded hill forest in Telangana, India, known for its trekking trails, waterfalls, and coffee plantations.
-
B.
Gir forest region
The Gir forest region is a protected wildlife area in Gujarat, India, best known as the last natural habitat of the Asiatic lion and for its dry deciduous forests and diverse fauna.
-
C.
Naimisha forest
Naimisha forest is a sacred and ancient woodland in Hindu tradition, frequently mentioned in epics like the Mahabharata as a site of great religious rituals and royal encounters.
-
D.
Dandakaranya forest
Dandakaranya forest is a vast, sparsely populated forested region in central-eastern India, historically associated with tribal communities, insurgent activity, and significant socio-political conflict.
-
E.
Chaitraratha forest
Chaitraratha forest is a famed celestial woodland in Hindu mythology, renowned as the pleasure garden of the gods and a key setting in the Mahabharata.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Godawari forest Target entity description: Godawari forest is a lush, biodiversity-rich woodland area in Nepal known for its botanical gardens, hiking trails, and scenic natural beauty.
-
A.
Ananthagiri forest
Ananthagiri forest is a scenic, densely wooded hill forest in Telangana, India, known for its trekking trails, waterfalls, and coffee plantations.
-
B.
Gir forest region
The Gir forest region is a protected wildlife area in Gujarat, India, best known as the last natural habitat of the Asiatic lion and for its dry deciduous forests and diverse fauna.
-
C.
Naimisha forest
Naimisha forest is a sacred and ancient woodland in Hindu tradition, frequently mentioned in epics like the Mahabharata as a site of great religious rituals and royal encounters.
-
D.
Dandakaranya forest
Dandakaranya forest is a vast, sparsely populated forested region in central-eastern India, historically associated with tribal communities, insurgent activity, and significant socio-political conflict.
-
E.
Chaitraratha forest
Chaitraratha forest is a famed celestial woodland in Hindu mythology, renowned as the pleasure garden of the gods and a key setting in the Mahabharata.
- F. None of above. chosen
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15751bf208190b8938a00d1afd157 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.