Triple
T9748498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umiam Lake |
E236376
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Barapani |
E810129
|
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: Barapani | Statement: [Umiam Lake, alsoKnownAs, Barapani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barapani Context triple: [Umiam Lake, alsoKnownAs, Barapani]
-
A.
Barapani
chosen
Barapani is a scenic lakeside area in Meghalaya, India, known for the Umiam Lake reservoir and its proximity to Shillong.
-
B.
Manikonda
Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
-
C.
Bahapur
Bahapur is a locality in South Delhi, India, best known for housing the iconic Lotus Temple, a major Baháʼí House of Worship and architectural landmark.
-
D.
Hogenakkal
Hogenakkal is a small town in Tamil Nadu, India, known as the gateway to the famous Hogenakkal Falls on the Kaveri River.
-
E.
Kotagiri
Kotagiri is a hill station town in the Nilgiri district of Tamil Nadu, India, known for its cool climate, tea plantations, and scenic 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f68f8b88190b44babf5ae17dfef |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:23 p.m.