Triple
T37067503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unchalli Falls |
E917485
|
entity |
| Predicate | approximateDistanceFromSirsi |
P37106
|
FINISHED |
| Object | about 35 kilometers |
—
|
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: about 35 kilometers | Statement: [Unchalli Falls, approximateDistanceFromSirsi, about 35 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceFromSirsi Context triple: [Unchalli Falls, approximateDistanceFromSirsi, about 35 kilometers]
-
A.
approximateDistanceFrom
chosen
Indicates an estimated or rough measure of how far one entity is from another.
-
B.
hasApproximateDistanceInTitle
Indicates that a title text contains an approximate (non-exact) expression of distance between entities.
-
C.
approxDistanceToJos
Indicates that one entity is located at an approximate distance from the entity referred to as Jos.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
hasApproximateDrivingDistanceFrom
Indicates that one entity is located at an estimated or approximate driving distance from another entity, typically measured along road routes rather than as a precise or exact value.
- 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: May 3, 2026, 4:14 p.m.