Triple
T19985838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pampa Lake |
E493928
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hampi |
—
|
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: Hampi | Statement: [Pampa Lake, locatedNear, Hampi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hampi Context triple: [Pampa Lake, locatedNear, Hampi]
-
A.
Hampi
chosen
Hampi is an ancient ruined city in Karnataka, India, famed for its monumental Hindu temples and as the former capital of the Vijayanagara Empire.
-
B.
Halebidu
Halebidu is a historic town in Karnataka, India, renowned for its intricately carved Hoysala-era temples and rich architectural heritage.
-
C.
Belur
Belur is a locality in the Howrah district of West Bengal, India, known for its proximity to the Hooghly River and the famous Belur Math.
-
D.
Belur
Belur is a historic town in Karnataka, India, renowned for its exquisite Hoysala-era temple architecture, especially the Chennakeshava Temple.
-
E.
Suvarna Soudha
Suvarna Soudha is a monumental legislative building in Belagavi, Karnataka, serving as the venue for the state’s winter legislative sessions and symbolizing the region’s political importance.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.