Triple
T30819296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Rukn al-Shami |
E784871
|
entity |
| Predicate | hasOrientationRelativeToBlackStone |
P192993
|
FINISHED |
| Object | opposite side from al-Rukn al-Aswad |
—
|
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: opposite side from al-Rukn al-Aswad | Statement: [al-Rukn al-Shami, hasOrientationRelativeToBlackStone, opposite side from al-Rukn al-Aswad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrientationRelativeToBlackStone Context triple: [al-Rukn al-Shami, hasOrientationRelativeToBlackStone, opposite side from al-Rukn al-Aswad]
-
A.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
B.
boardPosition
Indicates the specific role, title, or seat an individual holds on a formal board or governing body.
-
C.
orientationComparedToBA
Indicates how the orientation of one entity is positioned or directed relative to entity B and entity A.
-
D.
ringOrientation
Indicates the spatial alignment or facing direction of a ring relative to a reference frame or object.
-
E.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 29, 2026, 8:44 p.m.