Triple
T15510180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittaranjan Das |
E368685
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kalyani |
E184770
|
NE 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: Kalyani | Statement: [Chittaranjan Das, child, Kalyani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalyani Context triple: [Chittaranjan Das, child, Kalyani]
-
A.
Kalyani
chosen
Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
-
B.
Kalyani
Kalyani is a historic city in present-day Karnataka, India, renowned as the royal seat of the Western Chalukya dynasty and a major medieval center of politics and culture.
-
C.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
D.
Janakpurdham
Janakpurdham is a historic city in southeastern Nepal renowned as a major Hindu pilgrimage site associated with the birthplace of Sita and the grand Janaki Temple.
-
E.
Chandranigahapur
Chandranigahapur is a town in southern Nepal known as a local commercial and transportation hub within the Terai region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4cf35c8190aa8d2db6dd744c3f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:55 a.m.