Triple
T30740995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehi |
E782688
|
entity |
| Predicate | receivesObjectFrom |
P4382
|
FINISHED |
| Object | Liahona from God |
—
|
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: Liahona from God | Statement: [Lehi, receivesObjectFrom, Liahona from God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesObjectFrom Context triple: [Lehi, receivesObjectFrom, Liahona from God]
-
A.
bringsObjectFrom
Indicates that an agent transports or carries an object from a specified source location to another context or entity.
-
B.
receives
chosen
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
C.
receivedPropertyOf
Indicates that one entity has received or taken possession of a property or asset that belongs to another entity.
-
D.
receivesCargoFrom
Indicates that one entity obtains or is delivered cargo from another entity.
-
E.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:38 p.m.