Triple
T8710181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmanya script |
E206754
|
entity |
| Predicate | competitionWith |
P1375
|
FINISHED |
| Object | Kaddare script |
E206755
|
NE 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: Kaddare script | Statement: [Osmanya script, competitionWith, Kaddare script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaddare script Context triple: [Osmanya script, competitionWith, Kaddare script]
-
A.
Kaddare script
chosen
The Kaddare script is an indigenous writing system devised in the 20th century for the Somali language, notable for its unique letter forms and role in efforts to standardize Somali orthography.
-
B.
K.F. Tirana
K.F. Tirana is a professional football club based in Tirana, Albania, and one of the country’s most successful and historically significant teams.
-
C.
Seraiki
Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
-
D.
Ahmeti
Ahmeti is a surname and given name commonly found in Albanian and other Balkan cultures, derived from the name Ahmet.
-
E.
Lumi i Tiranës
Lumi i Tiranës is the Albanian name for the main river flowing through Albania’s capital city, Tirana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28c174008190bc2d43ca613e9a9e |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:35 p.m.