Triple
T3695039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla del Sol |
E78436
|
entity |
| Predicate | locatedInPortionOfLakeTiticaca |
P30683
|
FINISHED |
| Object | Bolivian side of Lake Titicaca |
—
|
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: Bolivian side of Lake Titicaca | Statement: [Isla del Sol, locatedInPortionOfLakeTiticaca, Bolivian side of Lake Titicaca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPortionOfLakeTiticaca Context triple: [Isla del Sol, locatedInPortionOfLakeTiticaca, Bolivian side of Lake Titicaca]
-
A.
locatedInFormerLake
Indicates that an entity is situated within the area that was once occupied by a lake that no longer exists.
-
B.
locatedInGeographicFeature
chosen
Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
-
C.
isAmongLargestHighAltitudeLakes
Indicates that a lake ranks among the largest lakes located at high altitudes.
-
D.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
-
E.
locatedInRiverValley
Indicates that something is situated within the geographical area of a river valley.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4eafd348190986f69aee787fd8f |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.