Triple
T30876246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti-Nephi-Lehies |
E786481
|
entity |
| Predicate | grantedLand |
P117702
|
FINISHED |
| Object | land of Jershon |
—
|
NE NERFINISHED |
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: land of Jershon | Statement: [Anti-Nephi-Lehies, grantedLand, land of Jershon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedLand Context triple: [Anti-Nephi-Lehies, grantedLand, land of Jershon]
-
A.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
B.
builtOnLandGrantedBy
Indicates that something was constructed on land that had been formally granted or allocated by a particular party.
-
C.
landGrantedBy
Indicates that one party has given or transferred legal rights to a piece of land to another party.
-
D.
landGrantField
Indicates that a specific field or parcel of land has been allocated or granted, typically by an authority, to a recipient under a land grant arrangement.
-
E.
landGrantRecipient
chosen
Indicates that an entity is the recipient or beneficiary of a grant of land from another party or authority.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 29, 2026, 8:48 p.m.