Triple
T1988004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Arafat |
E43184
|
entity |
| Predicate | importanceInHajj |
P20854
|
FINISHED |
| Object | wuquf at Arafat is essential for validity of Hajj |
—
|
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: wuquf at Arafat is essential for validity of Hajj | Statement: [Mount Arafat, importanceInHajj, wuquf at Arafat is essential for validity of Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInHajj Context triple: [Mount Arafat, importanceInHajj, wuquf at Arafat is essential for validity of Hajj]
-
A.
pilgrimageImportance
chosen
Indicates the degree to which something holds religious or spiritual significance as a destination or object of pilgrimage.
-
B.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
C.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
D.
importantSaint
Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
-
E.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.