Triple
T31531442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allerton Cemetery |
E804489
|
entity |
| Predicate | hasWarGravesNumber |
P148531
|
FINISHED |
| Object | over 400 Commonwealth war graves |
—
|
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: over 400 Commonwealth war graves | Statement: [Allerton Cemetery, hasWarGravesNumber, over 400 Commonwealth war graves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarGravesNumber Context triple: [Allerton Cemetery, hasWarGravesNumber, over 400 Commonwealth war graves]
-
A.
containsWarGravesOf
Indicates that a place or site includes burial locations or memorials for individuals who died in war.
-
B.
hasWarGravesMaintainedBy
Indicates that one entity contains war graves whose upkeep and preservation are carried out by another entity.
-
C.
hasMassGraveOf
Indicates that a location or site contains a mass grave in which the referenced individuals or remains are buried.
-
D.
numberOfGravesApproximate
chosen
Indicates that the stated count of graves is an estimated or approximate number rather than an exact figure.
-
E.
hasMassGraves
Indicates that a location or entity contains or is associated with one or more mass graves.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 30, 2026, 10:01 p.m.