Triple
T2106239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Uhud |
E42400
|
entity |
| Predicate | hasCemeteries |
P1496
|
FINISHED |
| Object | Graves of Uhud martyrs |
—
|
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: Graves of Uhud martyrs | Statement: [Mount Uhud, hasCemeteries, Graves of Uhud martyrs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCemeteries Context triple: [Mount Uhud, hasCemeteries, Graves of Uhud martyrs]
-
A.
hasCemetery
chosen
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
B.
numberOfCemeteries
Indicates the count of cemeteries associated with a given entity or within a specified area.
-
C.
isPublicCemetery
Indicates that a cemetery is designated, maintained, or recognized as a public burial ground accessible for general community use.
-
D.
hasNotableBurials
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
E.
hasCemeteryType
Indicates that a cemetery is classified as belonging to a specific type or category of cemetery.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbaddeb148190b728bce7a7b041fb |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.