Triple
T502839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de Bolívar |
E10435
|
entity |
| Predicate | pavedWith |
P14456
|
FINISHED |
| Object | stone |
—
|
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: stone | Statement: [Plaza de Bolívar, pavedWith, stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pavedWith Context triple: [Plaza de Bolívar, pavedWith, stone]
-
A.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
B.
lays
Indicates that one entity deposits or places something, typically eggs or objects, onto a surface or in a location.
-
C.
paintedEvery
Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
-
D.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
E.
drainagePattern
Indicates the characteristic spatial arrangement and connectivity of natural or artificial drainage features (such as streams, channels, or pipes) within an area.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1339748819089f89691a1698dd9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfbb7e0819092cf29c2c68fe8fb |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.