Triple
T17382806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahanweyn (Digil-Mirifle) |
E422611
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Hiraan |
—
|
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: Hiraan | Statement: [Rahanweyn (Digil-Mirifle), region, Hiraan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiraan Context triple: [Rahanweyn (Digil-Mirifle), region, Hiraan]
-
A.
Hiraan
chosen
Hiraan is a central Somali region known for its strategic location along the Shabelle River and its capital city, Beledweyne.
-
B.
Etiwanda
Etiwanda is a historic former community in Southern California, now part of the city of Rancho Cucamonga, known for its early role in citrus agriculture and irrigation development.
-
C.
Maralik
Maralik is a small town in northwestern Armenia known for its agricultural surroundings and location within the Shirak region.
-
D.
Iluka
Iluka is a small coastal town in northern New South Wales, Australia, known for its beaches, fishing, and proximity to the Clarence River and Iluka Nature Reserve.
-
E.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
- 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.