Triple
T12343711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Lakes |
E294294
|
entity |
| Predicate | notableLake |
P1025
|
FINISHED |
| Object | Doodh Talai Lake |
E303816
|
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: Doodh Talai Lake | Statement: [City of Lakes, notableLake, Doodh Talai Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doodh Talai Lake Context triple: [City of Lakes, notableLake, Doodh Talai Lake]
-
A.
Doodh Talai Lake
chosen
Doodh Talai Lake is a small scenic lake and popular tourist spot in Udaipur, Rajasthan, known for its surrounding gardens, viewpoints, and cultural attractions.
-
B.
Madhukar Sagar Lake
Madhukar Sagar Lake is a prominent reservoir and scenic water body located near Mahoba in the Bundelkhand region of Uttar Pradesh, India.
-
C.
Amarsagar Lake
Amarsagar Lake is a scenic freshwater lake in Udaipur, Tripura, known for its tranquil surroundings and cultural significance to the local community.
-
D.
Lakha Banjara Lake
Lakha Banjara Lake is a prominent artificial lake and local landmark situated near the city of Sagar in Madhya Pradesh, India.
-
E.
Lulusar Lake
Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f78a970819086beec3e4da8c49e |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbae345881908b2fa0a6900f601e |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 8, 2026, 9:53 p.m.