Triple
T34754681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عِلِّيِّينَ |
E1001883
|
entity |
| Predicate | حقل |
P133430
|
FINISHED |
| Object | العقيدة الإسلامية |
—
|
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: العقيدة الإسلامية | Statement: [عِلِّيِّينَ, حقل, العقيدة الإسلامية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حقل Context triple: [عِلِّيِّينَ, حقل, العقيدة الإسلامية]
-
A.
campo
chosen
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
B.
נחשב
Indicates that something or someone is regarded, considered, or deemed to have a certain status, quality, or classification.
-
C.
بارزة
Indicates that something is prominent, conspicuous, or stands out clearly in relation to other things.
-
D.
رعى
Indicates that an entity takes care of, looks after, or tends to another entity or activity (such as caring for someone, herding animals, or sponsoring an event).
-
E.
تلاه
Indicates that one event, action, or entity comes immediately after or follows another in sequence.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.