Triple
T16043904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badme region |
E389165
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Badme area |
E389165
|
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: Badme area | Statement: [Badme region, hasAlternativeName, Badme area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badme area Context triple: [Badme region, hasAlternativeName, Badme area]
-
A.
Badme region
chosen
The Badme region is a disputed border area between Eritrea and Ethiopia that became a central flashpoint and symbolic focal point of the Eritrean–Ethiopian War.
-
B.
Pankshin area
Pankshin area is a locality in Plateau State, central Nigeria, known for its diverse ethnic groups and use of the Angas language.
-
C.
Bansha area
Bansha area is a rural locality and village community situated within County Tipperary in Ireland.
-
D.
Tutuala area
The Tutuala area is a coastal and forested region at the eastern tip of Timor-Leste known for its rugged cliffs, beaches, and cultural sites within Nino Konis Santana National Park.
-
E.
Asni area
The Asni area is a mountainous region in Morocco’s High Atlas known for its Berber villages, scenic valleys, and role as a gateway to nearby trekking and tourist destinations.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835c5bd48190b5b47379bf51f84e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd95d508190a21db435fb69f8d7 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.