Triple
T26159547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Wasit fi al-Madhhab |
E660069
|
entity |
| Predicate | abridgedAs |
P119825
|
FINISHED |
| Object | al-Wajiz fi al-Madhhab |
—
|
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: al-Wajiz fi al-Madhhab | Statement: [al-Wasit fi al-Madhhab, abridgedAs, al-Wajiz fi al-Madhhab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abridgedAs Context triple: [al-Wasit fi al-Madhhab, abridgedAs, al-Wajiz fi al-Madhhab]
-
A.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
B.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
-
C.
abridgedEditionPublicationYear
Indicates the year in which an abridged edition of a work was published.
-
D.
الاختصار
chosen
Indicates that one entity is a shortened, abbreviated, or contracted form of another entity.
-
E.
abridger
Indicates that one entity shortens, condenses, or edits the content of another entity (such as a text or work) while preserving its essential meaning.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c1487748190beb5bcdfe11837f1 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:29 p.m.