Triple
T4754546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaitanya Mahaprabhu |
E105555
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Nabadwip |
E167888
|
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: Nabadwip | Statement: [Chaitanya Mahaprabhu, birthPlace, Nabadwip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabadwip Context triple: [Chaitanya Mahaprabhu, birthPlace, Nabadwip]
-
A.
Nabadwip
chosen
Nabadwip is a historic pilgrimage town in eastern India, renowned as the birthplace of the Vaishnav saint Chaitanya Mahaprabhu and an important center of Hindu learning and culture.
-
B.
Pandua
Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
-
C.
Naihati
Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
-
D.
Tamluk
Tamluk is a historic town in eastern India known as an ancient port city and administrative center in the Purba Medinipur district of West Bengal.
-
E.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e882b08190b100582e6d2e0334 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a6600e481909c3fb1decf23d7d8 |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:20 p.m.