Triple
T34383446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Master of Malta |
E882497
|
entity |
| Predicate | dateGrantedTerritory |
P18143
|
FINISHED |
| Object | 1530 |
—
|
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: 1530 | Statement: [Grand Master of Malta, dateGrantedTerritory, 1530]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateGrantedTerritory Context triple: [Grand Master of Malta, dateGrantedTerritory, 1530]
-
A.
landGrantedBy
Indicates that one party has given or transferred legal rights to a piece of land to another party.
-
B.
dateGranted
Indicates the specific date on which a right, status, or permission was formally conferred or approved.
-
C.
territoryAtTime
Indicates that a specified territory is associated with or held by an entity during a particular time or time interval.
-
D.
grantedTerritoryYear
chosen
Indicates the year in which a specific territory was formally granted or assigned to an entity.
-
E.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.