Triple
T19417273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakha Banjara Lake |
E485754
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sagar |
—
|
NE NERFINISHED |
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: Sagar | Statement: [Lakha Banjara Lake, locatedNear, Sagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagar Context triple: [Lakha Banjara Lake, locatedNear, Sagar]
-
A.
Sagar
chosen
Sagar is a prominent city in central India known for its educational institutions, historical significance, and role as an administrative and commercial hub in Madhya Pradesh.
-
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.
Thalay Sagar
Thalay Sagar is a prominent and technically challenging Himalayan peak in the Garhwal region of Uttarakhand, India, renowned among mountaineers for its steep rock and ice faces.
-
D.
Saagar
Saagar is a 1985 Hindi romantic drama film, directed by Ramesh Sippy, that is widely acclaimed for its performances by Dimple Kapadia, Rishi Kapoor, and Kamal Haasan and its memorable music by R.D. Burman.
-
E.
Dwarka Mor
Dwarka Mor is a residential and commercial neighborhood in West Delhi, India, known for its metro connectivity and proximity to major urban hubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.