Triple
T22765851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picpus Cemetery |
E563120
|
entity |
| Predicate | numberOfVictimsInMassGraves |
P149637
|
FINISHED |
| Object | over 1,300 |
—
|
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 1,300 | Statement: [Picpus Cemetery, numberOfVictimsInMassGraves, over 1,300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVictimsInMassGraves Context triple: [Picpus Cemetery, numberOfVictimsInMassGraves, over 1,300]
-
A.
numberOfMassGraves
Indicates the quantity of mass graves associated with or present at a given entity or location.
-
B.
massGravesDiscovered
Indicates that previously unknown burial sites containing multiple bodies have been found.
-
C.
hasMassGraves
Indicates that a location or entity contains or is associated with one or more mass graves.
-
D.
massacreCasualtiesEstimate
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
E.
hasMassGraveOf
Indicates that a location or site contains a mass grave in which the referenced individuals or remains are buried.
- F. None of above. chosen
Provenance (4 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:26 p.m.