Triple
T30818206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتب الستة |
E784842
|
entity |
| Predicate | ترتيب_تقريبي_في_المنزلة |
P166844
|
FINISHED |
| Object | صحيح البخاري |
—
|
NE NERFINISHED |
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: صحيح البخاري | Statement: [الكتب الستة, ترتيب_تقريبي_في_المنزلة, صحيح البخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتيب_تقريبي_في_المنزلة Context triple: [الكتب الستة, ترتيب_تقريبي_في_المنزلة, صحيح البخاري]
-
A.
ordinamento
chosen
Indicates the ordering or arrangement relationship that specifies how elements are organized according to a particular sequence, hierarchy, or rule.
-
B.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
C.
temporaryHomeOf
Indicates that one entity serves as a non-permanent or interim place of residence or storage for another entity.
-
D.
placementIn
Indicates that one entity is located or positioned within the spatial or structural bounds of another entity.
-
E.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.