Triple
T5011764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flanders Field American Cemetery |
E112637
|
entity |
| Predicate | hasGraveMarkersShape |
P11281
|
FINISHED |
| Object | white marble crosses |
—
|
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: white marble crosses | Statement: [Flanders Field American Cemetery, hasGraveMarkersShape, white marble crosses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraveMarkersShape Context triple: [Flanders Field American Cemetery, hasGraveMarkersShape, white marble crosses]
-
A.
hasGraveInscription
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
-
B.
hasTypeOfGrave
Indicates that an entity is associated with a specific kind or category of grave.
-
C.
hasGravestone
Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
-
D.
hasGravestoneStyle
chosen
Indicates that an entity’s gravestone is characterized by or associated with a particular style or design.
-
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.
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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730d70ac8190a1818d628e95ab04 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.