Triple
T38053282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choquequirao |
E949827
|
entity |
| Predicate | firstEuropeanDocumentationBy |
P155876
|
FINISHED |
| Object | Juan Arias Díaz |
E949827
|
NE 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: Juan Arias Díaz | Statement: [Choquequirao, firstEuropeanDocumentationBy, Juan Arias Díaz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEuropeanDocumentationBy Context triple: [Choquequirao, firstEuropeanDocumentationBy, Juan Arias Díaz]
-
A.
firstDocumentedEuropeanCrossingOf
Indicates that the subject is credited with making the first recorded crossing of the object by a European.
-
B.
firstEuropeanRecord
chosen
Indicates that the subject is the earliest known instance or documentation of the object in European historical or written records.
-
C.
firstDocumentedBy
Indicates that one entity is the person or source that originally recorded, reported, or documented the other entity for the first time.
-
D.
firstMajorEuropeanTranslationBy
Indicates that the object is the first major European-language translation produced by the subject.
-
E.
firstChartedOn
Indicates that an entity was first mapped, recorded, or charted on a specific date or during a specific time.
- F. None of above.
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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a42e07b7ce08190a4defc5bb9fefd0b |
completed | June 29, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.