Triple
T15280361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhuj |
E365251
|
entity |
| Predicate | nearbyWaterBody |
P1094
|
FINISHED |
| Object |
Hamirsar Lake
Hamirsar Lake is a historic man-made lake in Bhuj, Gujarat, known as a central landmark and recreational spot for locals and visitors.
|
E1164778
|
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: Hamirsar Lake | Statement: [Bhuj, nearbyWaterBody, Hamirsar Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamirsar Lake Context triple: [Bhuj, nearbyWaterBody, Hamirsar Lake]
-
A.
Lulusar Lake
Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
-
B.
Amarsagar Lake
Amarsagar Lake is a scenic freshwater lake in Udaipur, Tripura, known for its tranquil surroundings and cultural significance to the local community.
-
C.
Karanji Lake
Karanji Lake is a scenic urban lake and nature park in Mysore, India, known for its rich birdlife, boating, and tranquil surroundings.
-
D.
Kunduvada Lake
Kunduvada Lake is a prominent freshwater lake and popular recreational spot located in Davangere, Karnataka, India.
-
E.
Jamno Lake
Jamno Lake is a coastal lagoon in northwestern Poland, separated from the Baltic Sea by a narrow spit and known for its shallow waters and recreational activities.
- 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: Hamirsar Lake Triple: [Bhuj, nearbyWaterBody, Hamirsar Lake]
Generated description
Hamirsar Lake is a historic man-made lake in Bhuj, Gujarat, known as a central landmark and recreational spot for locals and visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamirsar Lake Target entity description: Hamirsar Lake is a historic man-made lake in Bhuj, Gujarat, known as a central landmark and recreational spot for locals and visitors.
-
A.
Lulusar Lake
Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
-
B.
Amarsagar Lake
Amarsagar Lake is a scenic freshwater lake in Udaipur, Tripura, known for its tranquil surroundings and cultural significance to the local community.
-
C.
Karanji Lake
Karanji Lake is a scenic urban lake and nature park in Mysore, India, known for its rich birdlife, boating, and tranquil surroundings.
-
D.
Kunduvada Lake
Kunduvada Lake is a prominent freshwater lake and popular recreational spot located in Davangere, Karnataka, India.
-
E.
Jamno Lake
Jamno Lake is a coastal lagoon in northwestern Poland, separated from the Baltic Sea by a narrow spit and known for its shallow waters and recreational activities.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2efb148190a2e6c0811f2afb5f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d4dd8108190aa3271a9feaea5ca |
completed | May 9, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4e29e8a48190bf7728cf2d099a7e |
completed | May 9, 2026, 3:09 p.m. |
Created at: April 10, 2026, 3:15 a.m.