Triple
T26098806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Wajiz fi Fiqh al-Imam al-Shafi'i |
E658344
|
entity |
| Predicate | conciseness |
P135630
|
FINISHED |
| Object | abridged |
—
|
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: abridged | Statement: [al-Wajiz fi Fiqh al-Imam al-Shafi'i, conciseness, abridged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conciseness Context triple: [al-Wajiz fi Fiqh al-Imam al-Shafi'i, conciseness, abridged]
-
A.
sentenceReduction
Indicates that a longer or more complex sentence has been shortened or simplified while preserving its essential meaning.
-
B.
precision
Indicates the degree to which an action, measurement, or outcome is carried out with exactness, minimal deviation, and fine-grained accuracy.
-
C.
curacy
Indicates that one entity serves in the role or position of a curate (assistant clergy) in relation to another entity, typically a parish or church.
-
D.
minimality
chosen
Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
-
E.
concentrates
Indicates that one entity directs its attention, effort, or resources intensely toward a specific target, task, or area.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607394b6881909bcf1a6871359541 |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:53 p.m.