Triple
T18492234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durrës County |
E451845
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shijak |
—
|
NE NERFINISHED |
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: Shijak | Statement: [Durrës County, contains, Shijak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shijak Context triple: [Durrës County, contains, Shijak]
-
A.
Shijak
chosen
Shijak is a small town and municipality in western Albania, situated between the cities of Tirana and Durrës.
-
B.
Jajrud
Jajrud is a river in northern Iran that flows through the Alborz Mountains toward the Tehran region.
-
C.
Jalesar
Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
-
D.
Jasdan
Jasdan is a town in the Rajkot district of Gujarat, India, known historically as the administrative center of the former princely state of Jasdan.
-
E.
Munirka
Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531dcac3c8190b2ebd129ca7f368d |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.