Triple
T7750213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aranzazu |
E175737
|
entity |
| Predicate | belongsToDepartmentCapitalRegion |
P78503
|
FINISHED |
| Object | Manizales metropolitan influence zone |
—
|
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: Manizales metropolitan influence zone | Statement: [Aranzazu, belongsToDepartmentCapitalRegion, Manizales metropolitan influence zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToDepartmentCapitalRegion Context triple: [Aranzazu, belongsToDepartmentCapitalRegion, Manizales metropolitan influence zone]
-
A.
hasDepartmentCapital
Indicates that a department has a specific city designated as its capital.
-
B.
capitalOfDepartment
Indicates that a city or town serves as the administrative capital of a specified department (an administrative division).
-
C.
locatedInNationCapitalRegion
Indicates that an entity is situated within the capital region of a specific nation.
-
D.
hasCapitalOfRepresentedArea
Indicates that an entity serves as the capital city or administrative center of the geographic or political area it represents.
-
E.
hasCapitalOfAutonomousRegion
Indicates that an autonomous region possesses a specific city that serves as its capital.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:08 p.m.