Triple
T899661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Santa Lucía |
E19417
|
entity |
| Predicate | majorRemodeling |
P3322
|
FINISHED |
| Object | 1872–1874 urban beautification project |
—
|
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: 1872–1874 urban beautification project | Statement: [Cerro Santa Lucía, majorRemodeling, 1872–1874 urban beautification project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRemodeling Context triple: [Cerro Santa Lucía, majorRemodeling, 1872–1874 urban beautification project]
-
A.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
B.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
-
C.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
D.
majorOperation
Indicates that one entity performs or undergoes a significant, large-scale, or primary operation or procedure involving another entity or context.
-
E.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4162848190aa2787b2fa3e6575 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.