Triple
T22186395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arval Brethren |
E548306
|
entity |
| Predicate | sacredSpaceType |
P101233
|
FINISHED |
| Object | sacred grove |
—
|
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: sacred grove | Statement: [Arval Brethren, sacredSpaceType, sacred grove]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredSpaceType Context triple: [Arval Brethren, sacredSpaceType, sacred grove]
-
A.
sacredTo
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
B.
usesSacredSpace
chosen
Indicates that an entity makes use of a designated sacred or holy space for its activities or purposes.
-
C.
religiousSiteType
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
D.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
E.
shrineType
Indicates the specific category or kind of shrine associated with an 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa8f178819094d1556df5aee5b9 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.