Triple
T15182542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partition of Babylon |
E362779
|
entity |
| Predicate | grantsTerritory |
P27534
|
FINISHED |
| Object | Egypt to Ptolemy I Soter |
—
|
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: Egypt to Ptolemy I Soter | Statement: [Partition of Babylon, grantsTerritory, Egypt to Ptolemy I Soter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsTerritory Context triple: [Partition of Babylon, grantsTerritory, Egypt to Ptolemy I Soter]
-
A.
claimsTerritory
Indicates that one entity asserts ownership, control, or sovereign rights over a specific geographic area or region.
-
B.
grantedTerritoryYear
Indicates the year in which a specific territory was formally granted or assigned to an entity.
-
C.
receivedTerritory
Indicates that one entity was granted or took possession of a territory from another entity.
-
D.
territoryType
Indicates the specific kind or classification of a territory associated with an entity (e.g., country, region, zone, or jurisdiction type).
-
E.
landGrantedBy
chosen
Indicates that one party has given or transferred legal rights to a piece of land to another party.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.