Triple
T12011908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عكّا |
E285922
|
entity |
| Predicate | كانت_عاصمة |
P3417
|
FINISHED |
| Object | ولاية عكّا العثمانية في القرن التاسع عشر |
—
|
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: ولاية عكّا العثمانية في القرن التاسع عشر | Statement: [عكّا, كانت_عاصمة, ولاية عكّا العثمانية في القرن التاسع عشر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كانت_عاصمة Context triple: [عكّا, كانت_عاصمة, ولاية عكّا العثمانية في القرن التاسع عشر]
-
A.
formerCapitalOf
chosen
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
-
B.
caliphateCapital
Indicates that one entity serves as the capital city or administrative center of a particular caliphate.
-
C.
wasDeFactoCapitalOf
Indicates that a place functioned in practice as the capital of a political entity, even if it was not officially designated as such.
-
D.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
-
E.
capitalOfRuledEntity
Indicates that a city or settlement serves as the capital of a political entity that rules or governs another entity.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.