Triple
T35305251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الناصرة |
E1019617
|
entity |
| Predicate | تحولت_إلى |
P36477
|
FINISHED |
| Object | مدينة كبرى في العصر الحديث |
—
|
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: مدينة كبرى في العصر الحديث | Statement: [الناصرة, تحولت_إلى, مدينة كبرى في العصر الحديث]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تحولت_إلى Context triple: [الناصرة, تحولت_إلى, مدينة كبرى في العصر الحديث]
-
A.
transitionTo
chosen
Indicates a change in state, condition, or phase from one defined status to another.
-
B.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
-
C.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
-
D.
convertedIn
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified context.
-
E.
relocatedAndBecame
Indicates that an entity moved from one place to another and, as a result of this move, assumed a new role, status, or identity.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904ec4dc8190bebc92e83e5a0a95 |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.