Triple
T8796498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobal do Humaitá market area |
E209301
|
entity |
| Predicate | busiestTimeOfDay |
P57188
|
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: [Cobal do Humaitá market area, busiestTimeOfDay, night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busiestTimeOfDay Context triple: [Cobal do Humaitá market area, busiestTimeOfDay, night]
-
A.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
B.
peakHours
chosen
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
C.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
D.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
E.
commercialPeak
Indicates the time or period when something (such as a product, artist, or business) achieves its highest level of commercial success or popularity.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa24ca08190a7738a7f1c446456 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.