Triple
T5803776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhansi State |
E128690
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jhansi |
E22224
|
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: Jhansi | Statement: [Jhansi State, namedAfter, Jhansi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jhansi Context triple: [Jhansi State, namedAfter, Jhansi]
-
A.
Jhansi
chosen
Jhansi is a historic city in northern India, renowned for its strategic fort and its central role in the 1857 uprising against British colonial rule.
-
B.
Jabalpur
Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
-
C.
Gwalior
Gwalior is a historic city in the Indian state of Madhya Pradesh, renowned for its hilltop fort, rich royal heritage, and cultural significance.
-
D.
Shahjahanpur
Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
-
E.
Chanderi
Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02ad11cf0819094d8f9e4aaf099a2 |
completed | March 22, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636b8a388190879829af44325e0e |
completed | March 27, 2026, 11 a.m. |
Created at: March 22, 2026, 3:52 p.m.