Triple
T7490869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Bazaar |
E177000
|
entity |
| Predicate | bestVisited |
P31097
|
FINISHED |
| Object | after sunset |
—
|
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: after sunset | Statement: [Night Bazaar, bestVisited, after sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisited Context triple: [Night Bazaar, bestVisited, after sunset]
-
A.
bestVisitedBy
Indicates that an entity is most suitably or optimally accessed, experienced, or reached by using a particular mode, route, or means of visiting.
-
B.
bestVisitedAt
chosen
Indicates the optimal time or conditions under which a place or entity should be visited.
-
C.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
D.
visitedBy
Indicates that a location or entity is the destination or target of a visit performed by another entity.
-
E.
visitedFor
Indicates that one entity traveled to or attended another entity (such as a place, person, or event) for a specific purpose or reason.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.