Triple
T35770970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Abbas Shrine |
E1034160
|
entity |
| Predicate | pilgrimCountDuringArbaeen |
P183650
|
FINISHED |
| Object | millions of pilgrims annually |
—
|
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: millions of pilgrims annually | Statement: [al-Abbas Shrine, pilgrimCountDuringArbaeen, millions of pilgrims annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimCountDuringArbaeen Context triple: [al-Abbas Shrine, pilgrimCountDuringArbaeen, millions of pilgrims annually]
-
A.
pilgrimsPerDay
Indicates the number of pilgrims associated with a place, route, or event during a single day.
-
B.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
C.
numberOfTraversalsInHajjSa'i
Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
-
D.
pilgrimageNumber
Indicates the number or count associated with a particular pilgrimage event or journey.
-
E.
pilgrimsPerDayOnPeakDays
Indicates the number of pilgrims present or arriving each day during the busiest or peak pilgrimage days.
- F. None of above. chosen
Provenance (4 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1f712ec8190a80c885dc84c44ab |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.