Triple
T3182421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogenakkal Falls |
E66620
|
entity |
| Predicate | distanceFromSalem |
P46019
|
FINISHED |
| Object | about 114 km |
—
|
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 114 km | Statement: [Hogenakkal Falls, distanceFromSalem, about 114 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSalem Context triple: [Hogenakkal Falls, distanceFromSalem, about 114 km]
-
A.
distanceToPortland
Indicates the measured distance between a given location and the city of Portland.
-
B.
distanceFromReno
Indicates the spatial distance between a given entity and the location Reno.
-
C.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
D.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
E.
distanceToPortlandMaine
Indicates the physical distance between a given location and the city of Portland, Maine.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:06 p.m.