Triple
T13152633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjirokastër County |
E312503
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tepelenë |
E646406
|
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: Tepelenë | Statement: [Gjirokastër County, containsCity, Tepelenë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepelenë Context triple: [Gjirokastër County, containsCity, Tepelenë]
-
A.
Tepelenë
chosen
Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
-
B.
Rrogozhinë
Rrogozhinë is a small town and municipality in central Albania known as a local transport and agricultural hub within Tirana County.
-
C.
Delvinë
Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
-
D.
Vurës
Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
-
E.
Pejë
Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd317e0819086e383f8e4583630 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaeca00c8190aa5645d1084c7d60 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.