Triple
T20974683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bijawar State |
E516593
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Bijawar
Bijawar is a town in the Chhatarpur district of Madhya Pradesh, India, historically known as the seat of the former princely state of Bijawar.
|
E1461644
|
NE FINISHED |
How this triple was built (4 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: Bijawar | Statement: [Bijawar State, capital, Bijawar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bijawar Context triple: [Bijawar State, capital, Bijawar]
-
A.
Jindwi
Jindwi is a dialect of the Manyika variety of the Shona language spoken in parts of eastern Zimbabwe and neighboring Mozambique.
-
B.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
C.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
D.
Vijalpor
Vijalpor is a town in the Navsari district of Gujarat, India, known as a growing residential and commercial suburb of the city of Navsari.
-
E.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bijawar Triple: [Bijawar State, capital, Bijawar]
Generated description
Bijawar is a town in the Chhatarpur district of Madhya Pradesh, India, historically known as the seat of the former princely state of Bijawar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bijawar Target entity description: Bijawar is a town in the Chhatarpur district of Madhya Pradesh, India, historically known as the seat of the former princely state of Bijawar.
-
A.
Jindwi
Jindwi is a dialect of the Manyika variety of the Shona language spoken in parts of eastern Zimbabwe and neighboring Mozambique.
-
B.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
C.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
D.
Vijalpor
Vijalpor is a town in the Navsari district of Gujarat, India, known as a growing residential and commercial suburb of the city of Navsari.
-
E.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
- F. None of above. chosen
Provenance (5 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b4bdbc08190af77135808c6aa3d |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093eb916d08190921e3ce82c290cf4 |
completed | May 17, 2026, 4:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093ee9654c81908da07b816adf3771 |
completed | May 17, 2026, 4:07 a.m. |
Created at: April 16, 2026, 1:46 p.m.