Triple
T6044589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apostle of the Indies |
E134633
|
entity |
| Predicate | honorsActivity |
P68376
|
FINISHED |
| Object | spreading Christianity in 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: spreading Christianity in India | Statement: [Apostle of the Indies, honorsActivity, spreading Christianity in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsActivity Context triple: [Apostle of the Indies, honorsActivity, spreading Christianity in India]
-
A.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
B.
honorsAspectOf
Indicates that one entity shows respect, recognition, or reverence specifically toward a particular aspect, quality, or facet of another entity.
-
C.
honorsRole
Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
-
D.
honorsNumber
Indicates that one entity formally recognizes or commemorates another by assigning or associating a specific number with it.
-
E.
eraOfHonouredPersonActivity
Indicates the historical period or era during which the honoured person carried out their notable activities.
- F. None of above. chosen
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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:09 p.m.