Triple
T686105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nana Sahib |
E13286
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Bithoor |
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: Bithoor | Statement: [Nana Sahib, birthPlace, Bithoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bithoor Context triple: [Nana Sahib, birthPlace, Bithoor]
-
A.
Jamnagar
Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
-
B.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
-
C.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
D.
Khuldabad
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
-
E.
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.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0924dec8190bbbd2bb244f85211 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf498af4819085d494f85adf0825 |
completed | March 4, 2026, 6:20 a.m. |
Created at: March 1, 2026, 7:36 p.m.