Triple
T9176429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bui Vien Walking Street |
E220209
|
entity |
| Predicate | mainActivityPeriod |
P28924
|
FINISHED |
| Object | night |
—
|
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: night | Statement: [Bui Vien Walking Street, mainActivityPeriod, night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainActivityPeriod Context triple: [Bui Vien Walking Street, mainActivityPeriod, night]
-
A.
mainRecordingPeriod
Indicates the primary time span during which the recording activity took place.
-
B.
hasMainPeriod
chosen
Indicates that something is associated with or characterized by a primary or most significant time period.
-
C.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
-
D.
showsTimePeriod
Indicates that one entity presents or displays a specific span or interval of time associated with another entity.
-
E.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.