Triple
T1275340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masaa gallery for Sa'i |
E27199
|
entity |
| Predicate | directionOfFirstLeg |
P20371
|
FINISHED |
| Object | Safa to Marwa |
—
|
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: Safa to Marwa | Statement: [Masaa gallery for Sa'i, directionOfFirstLeg, Safa to Marwa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfFirstLeg Context triple: [Masaa gallery for Sa'i, directionOfFirstLeg, Safa to Marwa]
-
A.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
B.
containsDirectionOf
chosen
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
C.
primaryDirection
Indicates the main or dominant directional orientation associated with an entity or relation.
-
D.
frontLineDirection
Indicates the primary orientation or bearing in which the front line of a conflict, formation, or boundary is facing or advancing.
-
E.
directionFromCharingCross
Indicates the compass direction of one place or object as measured from Charing Cross.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.