Triple
T9705298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjaneri Hills |
E234882
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Trimbakeshwar region |
E50416
|
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: Trimbakeshwar region | Statement: [Anjaneri Hills, hasViewOf, Trimbakeshwar region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trimbakeshwar region Context triple: [Anjaneri Hills, hasViewOf, Trimbakeshwar region]
-
A.
Trimbakeshwar
chosen
Trimbakeshwar is an ancient Hindu temple town in Maharashtra, India, renowned as one of the twelve Jyotirlingas of Lord Shiva and a major pilgrimage site.
-
B.
Shirdi
Shirdi is a prominent pilgrimage town in Maharashtra, India, best known as the home and shrine of the revered saint Sai Baba.
-
C.
Khopoli
Khopoli is an industrial town in Maharashtra, India, known for its manufacturing units, proximity to the Western Ghats, and location along the Mumbai–Pune route.
-
D.
Ratlam
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
-
E.
Lohegaon
Lohegaon is a suburban area of Pune, India, known for its residential neighborhoods and proximity to key transport and defense installations.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f800ec48190bc3028ecb3baeb28 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:18 p.m.