Triple
T6112539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abhimanyu |
E136279
|
entity |
| Predicate | maternalGrandmother |
P3524
|
FINISHED |
| Object | Rohini |
E505070
|
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: Rohini | Statement: [Abhimanyu, maternalGrandmother, Rohini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rohini Context triple: [Abhimanyu, maternalGrandmother, Rohini]
-
A.
Rohini
chosen
Rohini is a prominent figure in Hindu mythology, known as one of Vasudeva’s principal wives and the mother of the hero Balarama.
-
B.
Lajpat Nagar
Lajpat Nagar is a bustling residential and commercial neighborhood in South Delhi, known for its popular central market, clothing shops, and vibrant street food.
-
C.
Laxmi Nagar
Laxmi Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
D.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
-
E.
Kamla Nagar
Kamla Nagar is a prominent residential and commercial neighborhood in North Delhi known for its bustling markets, student-centric culture, and proximity to the University of Delhi’s North Campus.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.