Triple
T37096952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gocta Waterfall |
E918587
|
entity |
| Predicate | distanceFromChachapoyas |
P205724
|
FINISHED |
| Object | about 40–50 km by road |
—
|
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 40–50 km by road | Statement: [Gocta Waterfall, distanceFromChachapoyas, about 40–50 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromChachapoyas Context triple: [Gocta Waterfall, distanceFromChachapoyas, about 40–50 km by road]
-
A.
distanceFromCusco
Indicates the measured spatial distance between a given location or entity and the city of Cusco.
-
B.
distanceFromHuaraz
Indicates the spatial distance between an entity and the location of Huaraz.
-
C.
distanceFromArequipa
Indicates the spatial distance between a given location and the city of Arequipa.
-
D.
distanceFromLima
Indicates the measured distance between a given place or object and the city of Lima.
-
E.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.