Triple
T4332688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de Armas de Lima |
E97389
|
entity |
| Predicate | fountainInception |
P19692
|
FINISHED |
| Object | 1651 |
—
|
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: 1651 | Statement: [Plaza de Armas de Lima, fountainInception, 1651]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fountainInception Context triple: [Plaza de Armas de Lima, fountainInception, 1651]
-
A.
hasFountain
chosen
Indicates that one entity contains, features, or is equipped with a fountain.
-
B.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
C.
numberOfFountains
Indicates the quantitative relationship specifying how many fountains are associated with a given entity.
-
D.
inceptionPart
Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another entity.
-
E.
inceptionAsSymbol
Indicates that one entity begins to function or be recognized as a symbolic representation or emblem of another entity.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514faaac819081475681fd10da24 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.