Triple
T21032734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimla district |
E518103
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hatkoti
Hatkoti is a village and pilgrimage site in Himachal Pradesh, India, known for its ancient Hatkeshwari Devi temple and scenic Himalayan surroundings.
|
E1464524
|
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: Hatkoti | Statement: [Shimla district, contains, Hatkoti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatkoti Context triple: [Shimla district, contains, Hatkoti]
-
A.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
B.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
C.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
D.
Mahendragarh
Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
-
E.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
- 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: Hatkoti Triple: [Shimla district, contains, Hatkoti]
Generated description
Hatkoti is a village and pilgrimage site in Himachal Pradesh, India, known for its ancient Hatkeshwari Devi temple and scenic Himalayan surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatkoti Target entity description: Hatkoti is a village and pilgrimage site in Himachal Pradesh, India, known for its ancient Hatkeshwari Devi temple and scenic Himalayan surroundings.
-
A.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
B.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
C.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
D.
Mahendragarh
Mahendragarh is a town and district headquarters in the northern Indian state of Haryana.
-
E.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc83828c81909c1ec745c0313c9f |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09505fd1d0819098d8b390884e36db |
completed | May 17, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a09517954888190a2e20555afd95959 |
completed | May 17, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095204ba6c8190aff8dbb3b4b537d4 |
completed | May 17, 2026, 5:28 a.m. |
Created at: April 16, 2026, 1:56 p.m.