Triple
T25712290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cầu quay Sông Hàn |
E644764
|
entity |
| Predicate | nighttimeAttraction |
P124587
|
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: [Cầu quay Sông Hàn, nighttimeAttraction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nighttimeAttraction Context triple: [Cầu quay Sông Hàn, nighttimeAttraction, yes]
-
A.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
-
B.
hasNightViewSpot
chosen
Indicates that a location offers a suitable vantage point for viewing the scenery or cityscape at night.
-
C.
nightSeriesName
Indicates that a given name is the title or identifier of a particular night-time series or sequence of events.
-
D.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
E.
nightUse
Indicates that an entity is used, active, or intended specifically during the night.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc163fe48190a2680fa21dee8838 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:17 p.m.