Triple
T20810604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satna district |
E512285
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Chitrakoot |
—
|
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: Chitrakoot | Statement: [Satna district, hasTouristAttraction, Chitrakoot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chitrakoot Context triple: [Satna district, hasTouristAttraction, Chitrakoot]
-
A.
Chitrakoot
chosen
Chitrakoot is a revered pilgrimage town in India celebrated in the Ramayana as a key place of exile and spiritual refuge for Lord Rama.
-
B.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
-
C.
Kannauj
Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
-
D.
Sarabhanga
Sarabhanga is an ascetic sage in the Hindu epic Ramayana, known for his encounter with Rama in the Aranya Kanda and his renunciation of the mortal body to attain higher spiritual realms.
-
E.
Maheshwar
Maheshwar is a historic temple town on the banks of the Narmada River in Madhya Pradesh, India, renowned for its ghats, fort, and traditional handwoven Maheshwari sarees.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d27a4881908b34679385d8b94b |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.