Triple
T16702134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawna Lake |
E405878
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Kamshet
Kamshet is a scenic hill-station and paragliding destination in Maharashtra’s Western Ghats, known for its lakes, forts, and rural landscapes.
|
E1228805
|
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: Kamshet | Statement: [Pawna Lake, locatedNear, Kamshet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamshet Context triple: [Pawna Lake, locatedNear, Kamshet]
-
A.
Kamadgiri
Kamadgiri is a sacred forested hill in Chitrakoot revered in Hindu tradition as a major pilgrimage site associated with Lord Rama.
-
B.
Kamrej
Kamrej is a suburban locality within the Surat metropolitan area in the Indian state of Gujarat, known primarily as a growing residential and commercial hub along key transport routes.
-
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.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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: Kamshet Triple: [Pawna Lake, locatedNear, Kamshet]
Generated description
Kamshet is a scenic hill-station and paragliding destination in Maharashtra’s Western Ghats, known for its lakes, forts, and rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamshet Target entity description: Kamshet is a scenic hill-station and paragliding destination in Maharashtra’s Western Ghats, known for its lakes, forts, and rural landscapes.
-
A.
Kamadgiri
Kamadgiri is a sacred forested hill in Chitrakoot revered in Hindu tradition as a major pilgrimage site associated with Lord Rama.
-
B.
Kamrej
Kamrej is a suburban locality within the Surat metropolitan area in the Indian state of Gujarat, known primarily as a growing residential and commercial hub along key transport routes.
-
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.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383326d7081909ef4c3b724876513 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a0dee08190a67ed5df2008c91e |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00923f1da08190b6b2c869284099bc |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00931aa1d88190a0775e74779b3a6b |
completed | May 10, 2026, 2:15 p.m. |
Created at: April 10, 2026, 5:19 a.m.