Triple
T31099181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحِجْر |
E792622
|
entity |
| Predicate | positionRelativeToKaaba |
P196660
|
FINISHED |
| Object | جهة الشمال |
—
|
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: جهة الشمال | Statement: [الحِجْر, positionRelativeToKaaba, جهة الشمال]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToKaaba Context triple: [الحِجْر, positionRelativeToKaaba, جهة الشمال]
-
A.
positionOnKaaba
Indicates that one entity occupies a specific location or placement on the surface or structure of the Kaaba.
-
B.
distanceFromKaaba
Indicates the spatial distance between an entity’s location and the Kaaba.
-
C.
directionFromMecca
Indicates the geographic direction in which one entity lies relative to Mecca as the reference point.
-
D.
approxElevationAboveMecca
Indicates that one location’s elevation is approximately a specified amount higher or lower than the elevation of Mecca.
-
E.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69fe610d75a48190bfd08a9bb957fcd3 |
completed | May 8, 2026, 10:17 p.m. |
Created at: April 29, 2026, 9:03 p.m.