Triple
T26014407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muysccubun |
E646984
|
entity |
| Predicate | revitalizationEffortsIn |
P75892
|
FINISHED |
| Object | Boyacá |
—
|
NE NERFINISHED |
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: Boyacá | Statement: [Muysccubun, revitalizationEffortsIn, Boyacá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revitalizationEffortsIn Context triple: [Muysccubun, revitalizationEffortsIn, Boyacá]
-
A.
revitalizationEffortIn
chosen
Indicates that a revitalization effort or improvement initiative is being carried out within a specified location or area.
-
B.
revitalizationEffort
Indicates efforts or actions undertaken to restore, renew, or improve the condition, vitality, or functionality of something.
-
C.
revitalizationCommunity
Indicates a process or effort aimed at renewing, strengthening, or restoring vitality to a community.
-
D.
revitalizationNeed
Indicates that an entity requires renewal, restoration, or significant improvement to regain vitality, functionality, or effectiveness.
-
E.
revitalizationType
Indicates the specific kind or category of revitalization process that is being applied to or associated with an 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 9:03 a.m.