Triple
T27792229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nungua Barrier |
E701110
|
entity |
| Predicate | timeOfHighestActivity |
P86087
|
FINISHED |
| Object | morning rush hour |
—
|
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: morning rush hour | Statement: [Nungua Barrier, timeOfHighestActivity, morning rush hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfHighestActivity Context triple: [Nungua Barrier, timeOfHighestActivity, morning rush hour]
-
A.
hasTimeOfHighActivity
chosen
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
-
B.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
C.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
D.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
E.
timeOfPeakSize
Indicates the specific time at which something reaches its maximum size or extent.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 5:29 p.m.