Triple
T718276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmedabad |
E14357
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
|
E95323
|
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: Kankaria Lake | Statement: [Ahmedabad, hasLandmark, Kankaria Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kankaria Lake Context triple: [Ahmedabad, hasLandmark, Kankaria Lake]
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Shiga Lakes
Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
C.
Tonetta Lake
Tonetta Lake is a small hamlet in the Town of Southeast in Putnam County, New York, known for its residential community centered around the nearby lake.
-
D.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
-
E.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
- 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: Kankaria Lake Triple: [Ahmedabad, hasLandmark, Kankaria Lake]
Generated description
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kankaria Lake Target entity description: Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Shiga Lakes
Shiga Lakes is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
C.
Tonetta Lake
Tonetta Lake is a small hamlet in the Town of Southeast in Putnam County, New York, known for its residential community centered around the nearby lake.
-
D.
Ancylus Lake
Ancylus Lake was a large freshwater body that occupied the Baltic Sea basin after the last Ice Age, before it evolved into the modern brackish Baltic Sea.
-
E.
Bala Lake
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6891b6d908190823a9a09cef5c7da |
completed | March 3, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69a68b72910081908792bc4760b0610a |
completed | March 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6d634d6f08190a59ebda3bfe0d3db |
completed | March 3, 2026, 12:38 p.m. |
Created at: March 1, 2026, 7:37 p.m.