Triple
T7456858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawaf al-Wada |
E172146
|
entity |
| Predicate | directionOfCircumambulation |
P70359
|
FINISHED |
| Object | Counterclockwise |
—
|
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: Counterclockwise | Statement: [Tawaf al-Wada, directionOfCircumambulation, Counterclockwise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfCircumambulation Context triple: [Tawaf al-Wada, directionOfCircumambulation, Counterclockwise]
-
A.
positionOnKaaba
Indicates that one entity occupies a specific location or placement on the surface or structure of the Kaaba.
-
B.
lapDirection
Indicates the direction or orientation in which a lapping or overlapping action occurs between entities.
-
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.
positionInPrayer
Indicates the specific posture or stage a participant occupies within the sequence of actions in a prayer.
-
E.
rotationSense
chosen
Indicates the direction or orientation in which an object or system rotates relative to a defined reference frame.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3b0780881909e645160dd49eb57 |
completed | March 27, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:15 p.m.