Triple
T21188594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karauli district |
E522151
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Hindaun
Hindaun is a town in the Indian state of Rajasthan known for its historical temples, stone industry, and role as a local commercial and transport hub.
|
E1470835
|
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: Hindaun | Statement: [Karauli district, hasTown, Hindaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hindaun Context triple: [Karauli district, hasTown, Hindaun]
-
A.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
-
B.
Halisahar
Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
-
C.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
D.
Harnai
Harnai is a town in Pakistan’s Balochistan province known for its coal mining and mountainous terrain.
-
E.
Khaltahi
Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
- 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: Hindaun Triple: [Karauli district, hasTown, Hindaun]
Generated description
Hindaun is a town in the Indian state of Rajasthan known for its historical temples, stone industry, and role as a local commercial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hindaun Target entity description: Hindaun is a town in the Indian state of Rajasthan known for its historical temples, stone industry, and role as a local commercial and transport hub.
-
A.
Jaiharikhal
Jaiharikhal is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and tranquil rural setting.
-
B.
Halisahar
Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
-
C.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
D.
Harnai
Harnai is a town in Pakistan’s Balochistan province known for its coal mining and mountainous terrain.
-
E.
Khaltahi
Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333403448190bcd9cc0805e414b5 |
completed | April 21, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097581c3c08190abbdb9ec0b915a9f |
completed | May 17, 2026, 8 a.m. |
| NEDg | Description generation | batch_6a097652819481908da15da1fd77160f |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09772e67708190856224f80cf22106 |
completed | May 17, 2026, 8:07 a.m. |
Created at: April 16, 2026, 3:07 p.m.