Triple
T32332736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dis |
E826093
|
entity |
| Predicate | receivesOfferings |
P82772
|
FINISHED |
| Object | sacrifices |
—
|
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: sacrifices | Statement: [Dis, receivesOfferings, sacrifices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesOfferings Context triple: [Dis, receivesOfferings, sacrifices]
-
A.
receivesOfferingsOf
Indicates that one entity is the recipient of offerings, tributes, or gifts presented by another entity.
-
B.
receivesOffering
chosen
Indicates that one entity is the recipient of an offering, gift, or sacrifice made by another entity.
-
C.
hasVotiveOfferings
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
D.
worshipersOffer
Indicates that worshipers present or dedicate offerings to a deity, sacred figure, or religious object.
-
E.
receivesBoon
Indicates that one entity is the beneficiary of a boon, gift, or advantageous favor provided by another entity or source.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 12:47 a.m.