Triple
T7189464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pilgrimAccommodationZonesInMecca |
E167650
|
entity |
| Predicate | seasonalPeakUsage |
P34607
|
FINISHED |
| Object | Hajj season |
—
|
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: Hajj season | Statement: [pilgrimAccommodationZonesInMecca, seasonalPeakUsage, Hajj season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalPeakUsage Context triple: [pilgrimAccommodationZonesInMecca, seasonalPeakUsage, Hajj season]
-
A.
usagePeak
chosen
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
B.
operationalPeak
Indicates the highest level or period of performance, capacity, or activity that a system, process, or entity reaches during its operation.
-
C.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
D.
hasSeasonalPattern
Indicates that the occurrence, intensity, or characteristics of something regularly vary according to a recurring seasonal cycle.
-
E.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ff1ad0819094761f8c73e3e986 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.