Triple
T19696986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korçë region |
E472985
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Maliq |
—
|
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: Maliq | Statement: [Korçë region, contains, Maliq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maliq Context triple: [Korçë region, contains, Maliq]
-
A.
Maliq
chosen
Maliq is a small town in southeastern Albania, known historically for its agricultural activity and proximity to the city of Korçë.
-
B.
Maliku
Maliku is a dialect of the Lawangan language spoken by a subgroup of the Lawangan people in Indonesia.
-
C.
Maliku
Maliku is the traditional local name for Minicoy Island, a culturally distinct island in India’s Lakshadweep archipelago known for its unique Mahl-speaking community and seafaring heritage.
-
D.
Malika
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
-
E.
Malkiya
Malkiya is a coastal village in Bahrain known for its traditional fishing community and scenic shoreline.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6421527b08190858788265043792d |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.