Triple
T9704712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nashik district |
E234869
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Deolali
Deolali is a cantonment town in Maharashtra, India, historically known for its British-era military camp and pleasant hill-station climate.
|
E815162
|
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: Deolali | Statement: [Nashik district, containsTown, Deolali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deolali Context triple: [Nashik district, containsTown, Deolali]
-
A.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
B.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
C.
Aalwar
Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
-
D.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
E.
Sohra
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
- 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: Deolali Triple: [Nashik district, containsTown, Deolali]
Generated description
Deolali is a cantonment town in Maharashtra, India, historically known for its British-era military camp and pleasant hill-station climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deolali Target entity description: Deolali is a cantonment town in Maharashtra, India, historically known for its British-era military camp and pleasant hill-station climate.
-
A.
Bhailsa
Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
-
B.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
C.
Aalwar
Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
-
D.
Bhabra
Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
-
E.
Sohra
Sohra is a town in Meghalaya, India, famed for its exceptionally high rainfall and lush, dramatic landscapes.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d74afb4819084174aab5bcdb6e0 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d193623fac8190a8dcdac664a977f3 |
completed | April 4, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193cc61208190b98fe862b295dda3 |
completed | April 4, 2026, 10:42 p.m. |
Created at: March 30, 2026, 8:18 p.m.