Triple
T36564873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Goa |
E901945
|
entity |
| Predicate | missionaryFunction |
P21053
|
FINISHED |
| Object | base for evangelization of India |
—
|
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: base for evangelization of India | Statement: [Diocese of Goa, missionaryFunction, base for evangelization of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionaryFunction Context triple: [Diocese of Goa, missionaryFunction, base for evangelization of India]
-
A.
missionizationAt
chosen
Indicates the location or context in which a missionizing or religious conversion effort takes place.
-
B.
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.
-
C.
missionaryActivityFrom
Indicates that a missionary activity originates from or is carried out by a specified source entity.
-
D.
isMissionary
Indicates that an entity serves as a missionary, engaging in religious outreach or proselytizing activities toward others.
-
E.
missionaryOrganization
Indicates that an entity is a religious or faith-based organization dedicated to missionary work or activities.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:11 p.m.