Triple
T17796416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beng Mealea |
E444303
|
entity |
| Predicate | hasBoardwalks |
P12289
|
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, hasBoardwalks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardwalks Context triple: [Beng Mealea, hasBoardwalks, yes]
-
A.
hasOutfieldBoardwalk
Indicates that an outfield area includes or is equipped with a boardwalk structure.
-
B.
isBoardwalkAttraction
Indicates that one entity is an attraction or point of interest located on or directly associated with a boardwalk.
-
C.
boardwalkType
Indicates the specific kind or classification of a boardwalk in relation to its general category or design.
-
D.
hasPromenade
chosen
Indicates that one entity features or includes a promenade, typically as a designated walkway or leisure area associated with it.
-
E.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
- 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.