Triple
T12739906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scioa |
E304461
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Hararghe |
E603973
|
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: Hararghe | Statement: [Scioa, borders, Hararghe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hararghe Context triple: [Scioa, borders, Hararghe]
-
A.
Hararghe
chosen
Hararghe is a historical region in eastern Ethiopia known for its Oromo population, coffee production, and role as a former administrative province.
-
B.
Hamra
Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
-
C.
Thoseghar
Thoseghar is a small village in Maharashtra, India, known primarily as the access point to the scenic Thoseghar Waterfalls and surrounding hilly countryside.
-
D.
Metehara
Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
-
E.
Alto de Arkale
Alto de Arkale is a short but steep climb in the Basque Country that frequently features as a decisive ascent in the Clásica de San Sebastián professional cycling race.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646dfc908190bc398935d1d23537 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.