Triple
T3182435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogenakkal Falls |
E66620
|
entity |
| Predicate | stateBorderProximity |
P20873
|
FINISHED |
| Object | near Karnataka–Tamil Nadu border |
—
|
LITERAL 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: near Karnataka–Tamil Nadu border | Statement: [Hogenakkal Falls, stateBorderProximity, near Karnataka–Tamil Nadu border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateBorderProximity Context triple: [Hogenakkal Falls, stateBorderProximity, near Karnataka–Tamil Nadu border]
-
A.
countryBorderProximity
Indicates that one country is geographically close to or directly bordering another country.
-
B.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
C.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
D.
nearbyState
chosen
Indicates that one state is geographically adjacent to or in close proximity to another state.
-
E.
USStateBorderFor
Indicates that a U.S. state serves as a bordering state for the specified geographic or political entity.
- F. None of above.
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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.