Triple
T34127977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lago Victoria Ocampo |
E875342
|
entity |
| Predicate | isLocalAttraction |
P184036
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lago Victoria Ocampo, isLocalAttraction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocalAttraction Context triple: [Lago Victoria Ocampo, isLocalAttraction, true]
-
A.
isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
-
B.
isPartOfAttraction
Indicates that something is a component or sub-element within a larger attraction or point of interest.
-
C.
isNonWalkingAttraction
Indicates that an attraction is not intended to be experienced primarily by walking, but instead through another mode (e.g., ride, seated show, or stationary experience).
-
D.
isPopularAttraction
Indicates that something is widely liked, frequently visited, or highly regarded as an attraction in a particular context or location.
-
E.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
- 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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 1, 2026, 1:53 a.m.