Triple
T8773467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vembanad Lake |
E208520
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Vembanad Kol |
E208520
|
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: Vembanad Kol | Statement: [Vembanad Lake, alsoKnownAs, Vembanad Kol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vembanad Kol Context triple: [Vembanad Lake, alsoKnownAs, Vembanad Kol]
-
A.
Vembanad Lake
chosen
Vembanad Lake is the largest lake in the Indian state of Kerala, famed for its scenic backwaters, houseboat tourism, and rich wetland ecosystem.
-
B.
Sagar Dighi
Sagar Dighi is a prominent historic water tank and public landmark located in the town of Cooch Behar in West Bengal, India.
-
C.
Lal Bahadur Shastri Sagar
Lal Bahadur Shastri Sagar is a major reservoir in Karnataka, India, formed by the Almatti Dam on the Krishna River and used for irrigation, power generation, and water supply.
-
D.
Jadhav Sagar Lake
Jadhav Sagar Lake is a local water body and scenic spot located in the town of Shivpuri in Madhya Pradesh, India.
-
E.
Sakhya Sagar Lake
Sakhya Sagar Lake is a prominent reservoir and scenic water body near Shivpuri in Madhya Pradesh, India, known for its role in local ecology and tourism.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab596ef88190b538d15b0d71e176 |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:41 p.m.