Triple
T17219770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionisio Pulido |
E417943
|
entity |
| Predicate | occupationLocation |
P1527
|
FINISHED |
| Object | cornfield near Parícutin, Michoacán, Mexico |
—
|
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: cornfield near Parícutin, Michoacán, Mexico | Statement: [Dionisio Pulido, occupationLocation, cornfield near Parícutin, Michoacán, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationLocation Context triple: [Dionisio Pulido, occupationLocation, cornfield near Parícutin, Michoacán, Mexico]
-
A.
locationOfWork
chosen
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
B.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
C.
studCareerLocation
Indicates the place where a student's academic or professional career activities occur or are based.
-
D.
recruitmentLocation
Indicates the place or geographic area where the recruitment or hiring of individuals occurs.
-
E.
placeOfOriginOfWork
Indicates the location where a work (such as an artwork, literary piece, or other creation) was originally produced or created.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddc3cb88190a67e35164d710d9d |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.