Triple
T33583907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Diego Guerrero |
E860226
|
entity |
| Predicate | hasChildhoodLocation |
P5279
|
FINISHED |
| Object | Mexico |
—
|
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: Mexico | Statement: [Juan Diego Guerrero, hasChildhoodLocation, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildhoodLocation Context triple: [Juan Diego Guerrero, hasChildhoodLocation, Mexico]
-
A.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
-
B.
hasBoyhoodHomeOf
Indicates that a particular place served as the home where a male person lived during his childhood.
-
C.
hasChildhood
Indicates that one entity serves as the childhood period, environment, or experience of another entity.
-
D.
residenceOfChild
Indicates that a specified location is the place where a particular child lives or resides.
-
E.
spentChildhoodIn
chosen
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:40 a.m.