Triple
T19309976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus Temple |
E482937
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bahapur |
—
|
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: Bahapur | Statement: [Lotus Temple, locatedIn, Bahapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahapur Context triple: [Lotus Temple, locatedIn, Bahapur]
-
A.
Bahapur
chosen
Bahapur is a locality in South Delhi, India, best known for housing the iconic Lotus Temple, a major Baháʼí House of Worship and architectural landmark.
-
B.
Lalbaug
Lalbaug is a historic locality in Navsari, Gujarat, known for its cultural significance and old-world charm.
-
C.
Baghat
Baghat was a small princely state in colonial India that was incorporated into British-controlled territory during the 19th century.
-
D.
Shangarh
Shangarh is a scenic Himalayan village in Himachal Pradesh, India, known for its expansive meadows, traditional wooden temples, and tranquil setting within the Great Himalayan National Park region.
-
E.
Sauraha
Sauraha is a popular tourist village in southern Nepal that serves as a main gateway for wildlife safaris and jungle activities in and around Chitwan National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cc62e08190b5ba5dfc44efdc5c |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.