Triple
T10637431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congressional Cemetery |
E250627
|
entity |
| Predicate | hasImageSubject |
P9792
|
FINISHED |
| Object | rows of historic headstones and cenotaphs |
—
|
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: rows of historic headstones and cenotaphs | Statement: [Congressional Cemetery, hasImageSubject, rows of historic headstones and cenotaphs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImageSubject Context triple: [Congressional Cemetery, hasImageSubject, rows of historic headstones and cenotaphs]
-
A.
containsImage
Indicates that one entity includes or embeds an image as part of its content or structure.
-
B.
hasMainImageSource
Indicates that an entity is associated with a primary image file or URL that serves as its main visual representation.
-
C.
hasPhotoOn
Indicates that one entity has an associated photograph stored, displayed, or linked on another entity (such as a platform, page, or medium).
-
D.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
E.
isPhotographicSubject
chosen
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfae51148190840a4e52b29ad06e |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:04 p.m.