Triple
T34525233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decennial Exposition of St. Francis Xavier |
E886381
|
entity |
| Predicate | typeOfRelic |
P63949
|
FINISHED |
| Object | body relics |
—
|
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: body relics | Statement: [Decennial Exposition of St. Francis Xavier, typeOfRelic, body relics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRelic Context triple: [Decennial Exposition of St. Francis Xavier, typeOfRelic, body relics]
-
A.
hasRelicType
chosen
Indicates that an entity is associated with, classified by, or possesses a specific type or category of relic.
-
B.
containsRelic
Indicates that one entity holds, includes, or has within it a relic.
-
C.
reliquaryType
Indicates the specific kind or category of reliquary associated with an entity.
-
D.
notableRelic
Indicates that an entity is a historically or culturally significant relic associated with another entity (such as a place, person, or event).
-
E.
relicBroughtBy
Indicates that a relic was transported or delivered to a location or context by a specific agent or entity.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01416f8a8c8190abc12f68bd23dcc3 |
completed | May 11, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_6a013f3bc2e48190a51ec2707bbdd474 |
completed | May 11, 2026, 2:30 a.m. |
Created at: May 1, 2026, 2:02 a.m.