Triple
T3848372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhondu Pant |
E85228
|
entity |
| Predicate | placeOfActivity |
P1527
|
FINISHED |
| Object | Cawnpore |
E29812
|
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: Cawnpore | Statement: [Dhondu Pant, placeOfActivity, Cawnpore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cawnpore Context triple: [Dhondu Pant, placeOfActivity, Cawnpore]
-
A.
Netaji Nagar
Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Allahabad
chosen
Allahabad, officially known as Prayagraj, is a major city in the Indian state of Uttar Pradesh, historically significant as a political and cultural center and as a prominent site of the Kumbh Mela at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
-
C.
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
D.
Islampur
Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
-
E.
Kolkata Cantonment
Kolkata Cantonment is a major military cantonment area in Kolkata, India, housing key army installations and administrative facilities.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50414acdc81909bf0b62afa3fe536 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.