Triple
T21676594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statue of Álvaro de Bazán |
E534986
|
entity |
| Predicate | subjectHasEra |
P145406
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [statue of Álvaro de Bazán, subjectHasEra, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectHasEra Context triple: [statue of Álvaro de Bazán, subjectHasEra, 16th century]
-
A.
representsEra
Indicates that one entity designates the historical era, period, or age to which another entity belongs or is associated.
-
B.
hasEraInfluence
Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
-
C.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
associatedWithEraStar
Indicates a relationship where something is linked or connected to a particular era of a star’s existence or development.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a105b888190820b894d16c1ab77 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:42 p.m.