Triple
T17382169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berat |
E422594
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Myzeqe |
—
|
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: Myzeqe | Statement: [Berat, historicalRegion, Myzeqe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myzeqe Context triple: [Berat, historicalRegion, Myzeqe]
-
A.
Myzeqe
chosen
Myzeqe is a fertile lowland area in western Albania, known historically as an important agricultural heartland and cultural subregion of the Tosk-speaking population.
-
B.
Anjezë
Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
-
C.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
-
D.
Njimi
Njimi was an important medieval city that served as the early capital of the Kanem-Bornu Empire in Central Africa.
-
E.
Dolo
Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.