Triple
T28741434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin de Montoya |
E731251
|
entity |
| Predicate | placeOfMissionaryActivity |
P117049
|
FINISHED |
| Object | Paraguay (historical Guaraní region) |
—
|
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: Paraguay (historical Guaraní region) | Statement: [Martin de Montoya, placeOfMissionaryActivity, Paraguay (historical Guaraní region)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfMissionaryActivity Context triple: [Martin de Montoya, placeOfMissionaryActivity, Paraguay (historical Guaraní region)]
-
A.
placeOfEvangelisticActivity
chosen
Indicates the location where evangelistic or missionary activities are carried out.
-
B.
missionaryActivityFrom
Indicates that a missionary activity originates from or is carried out by a specified source entity.
-
C.
missionaryOrganization
Indicates that an entity is a religious or faith-based organization dedicated to missionary work or activities.
-
D.
placeOfMission
Indicates the location where a mission, assignment, or task is carried out or based.
-
E.
missionSociety
Indicates a relationship where an organization or entity is dedicated to carrying out a specific mission or purpose on behalf of a society or community.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 6:03 a.m.