Triple
T33457527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الزمخشري |
E856817
|
entity |
| Predicate | القرن_الميلادي |
P10303
|
FINISHED |
| Object | القرن الثاني عشر الميلادي |
—
|
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: القرن الثاني عشر الميلادي | Statement: [الزمخشري, القرن_الميلادي, القرن الثاني عشر الميلادي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: القرن_الميلادي Context triple: [الزمخشري, القرن_الميلادي, القرن الثاني عشر الميلادي]
-
A.
century
chosen
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
B.
latestCentury
Indicates that the associated time or event occurs in, or belongs to, the most recent century relative to a given reference point.
-
C.
emergedByCentury
Indicates that something came into existence, became prominent, or first appeared during a specified century.
-
D.
تاريخ_الإنشاء_ميلادي
Indicates the Gregorian calendar date on which something was created or established.
-
E.
odiCenturies
Indicates the number of centuries a player has scored in One Day International (ODI) cricket matches.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4cff8c08190aecaabf722cf3891 |
completed | May 3, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:37 a.m.