Triple
T5026007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicily-Rome American Cemetery |
E112975
|
entity |
| Predicate | hasGraveMarkerShape |
P60591
|
FINISHED |
| Object | Latin cross |
—
|
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: Latin cross | Statement: [Sicily-Rome American Cemetery, hasGraveMarkerShape, Latin cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraveMarkerShape Context triple: [Sicily-Rome American Cemetery, hasGraveMarkerShape, Latin cross]
-
A.
hasGravestone
Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
-
B.
hasGravestoneStyle
Indicates that an entity’s gravestone is characterized by or associated with a particular style or design.
-
C.
hasGraveInscription
Indicates that an entity (typically a grave or tomb) bears a specific inscription engraved or written on it.
-
D.
hasTypeOfGrave
Indicates that an entity is associated with a specific kind or category of grave.
-
E.
hasFindAGraveID
Indicates that an entity is associated with a specific identifier used in the Find a Grave online memorial database.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738c3aac81908fb6a5c70c97a394 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.