Triple
T17796402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beng Mealea |
E444303
|
entity |
| Predicate | hasInnerGalleries |
P4142
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Beng Mealea, hasInnerGalleries, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInnerGalleries Context triple: [Beng Mealea, hasInnerGalleries, yes]
-
A.
hasGallery
chosen
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
B.
hasViewingGallery
Indicates that one entity includes or provides a designated area from which another entity can be observed or viewed.
-
C.
hasGalleryLocation
Indicates that an entity is associated with a specific gallery location where it is displayed, stored, or made accessible.
-
D.
numberOfGalleries
Indicates the total count of galleries associated with or contained by a given entity.
-
E.
hasWomenGallery
Indicates that something includes or features a dedicated gallery or section focused on women.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fafc2c8190b28e791267c47e3c |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.