Triple
T7224719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المدينة |
E150349
|
entity |
| Predicate | أصبحت |
P6579
|
FINISHED |
| Object | عاصمة الدولة الإسلامية الأولى |
—
|
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: عاصمة الدولة الإسلامية الأولى | Statement: [المدينة, أصبحت, عاصمة الدولة الإسلامية الأولى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أصبحت Context triple: [المدينة, أصبحت, عاصمة الدولة الإسلامية الأولى]
-
A.
became
chosen
Indicates a change of state or status in which one entity transitions into or assumes the role, condition, or identity of another.
-
B.
workBecame
Indicates that one work was transformed, adapted, or evolved into another work over time.
-
C.
beforeBecoming
Indicates that one state, role, or condition existed or occurred prior to another state, role, or condition coming into effect.
-
D.
didNotBecome
Indicates that an expected or potential change of state, role, or condition between entities did not occur.
-
E.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.