Triple
T9172115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kollam |
E220104
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Ashtamudi Lake |
E781619
|
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: Ashtamudi Lake | Statement: [Kollam, hasLake, Ashtamudi Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashtamudi Lake Context triple: [Kollam, hasLake, Ashtamudi Lake]
-
A.
Ashtamudi Lake
chosen
Ashtamudi Lake is a large, palm-fringed backwater lagoon in the Indian state of Kerala, renowned for its scenic beauty, houseboat cruises, and rich biodiversity.
-
B.
Vembanad Lake
Vembanad Lake is the largest lake in the Indian state of Kerala, famed for its scenic backwaters, houseboat tourism, and rich wetland ecosystem.
-
C.
Pulicat
Pulicat is a historic coastal town in southeastern India known for its lagoon, colonial-era trading history, and rich birdlife.
-
D.
Periyar Lake
Periyar Lake is an artificial reservoir in Kerala, India, renowned for its scenic wildlife boat safaris and as a key habitat for elephants and other fauna within Periyar National Park.
-
E.
Jadhav Sagar Lake
Jadhav Sagar Lake is a local water body and scenic spot located in the town of Shivpuri in Madhya Pradesh, India.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbf9fe79c819082f335c2fdd1c7d3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065cd42f481909ad3c68372041b1a |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:22 p.m.