Triple
T36678616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Âu Cơ Street |
E905611
|
entity |
| Predicate | hasTimeActivityPattern |
P86087
|
FINISHED |
| Object | Quảng Bá flower market busiest at night and early morning |
—
|
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: Quảng Bá flower market busiest at night and early morning | Statement: [Âu Cơ Street, hasTimeActivityPattern, Quảng Bá flower market busiest at night and early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeActivityPattern Context triple: [Âu Cơ Street, hasTimeActivityPattern, Quảng Bá flower market busiest at night and early morning]
-
A.
hasTimeOfHighActivity
chosen
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
-
B.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
C.
hasTimeOfAction
Indicates that an action is associated with a specific point or interval in time when it occurs.
-
D.
hasFrequentActivity
Indicates that an entity regularly engages in or exhibits a high level of a particular activity over a given period.
-
E.
hasActivityCycle
Indicates that an entity exhibits a recurring pattern or cycle of activity over time.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:12 p.m.