Triple
T14632728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miniyeh-Danniyeh District |
E343521
|
entity |
| Predicate | hasLargestTown |
P847
|
FINISHED |
| Object | Miniyeh |
E1110603
|
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: Miniyeh | Statement: [Miniyeh-Danniyeh District, hasLargestTown, Miniyeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miniyeh Context triple: [Miniyeh-Danniyeh District, hasLargestTown, Miniyeh]
-
A.
Miniyeh
chosen
Miniyeh is a town in northern Lebanon that serves as the administrative and economic center of the Miniyeh-Danniyeh District in the North Governorate.
-
B.
Minyas
Minyas is a figure in Greek mythology known as the legendary founder and first king of Orchomenus in Boeotia.
-
C.
Minilya
Minilya is a small locality in Western Australia known primarily as a remote roadhouse and junction point for travelers in the state's northwest region.
-
D.
Lundayeh
Lundayeh are an indigenous Dayak ethnic group of the highland interior of Borneo, primarily found in northern Kalimantan, Sabah, and Sarawak, known for their rice cultivation, traditional longhouses, and rich oral traditions.
-
E.
Danniyeh
Danniyeh is a mountainous region in northern Lebanon known for its rural villages, natural landscapes, and agricultural communities.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.