Triple
T4122949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Red Sea Region |
E92655
|
entity |
| Predicate | hasPortCity |
P2745
|
FINISHED |
| Object | Massawa |
E416299
|
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: Massawa | Statement: [Northern Red Sea Region, hasPortCity, Massawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massawa Context triple: [Northern Red Sea Region, hasPortCity, Massawa]
-
A.
Massawa
chosen
Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
-
B.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
C.
Asmara
Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
-
D.
Tantu
Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
-
E.
Bahir Dar
Bahir Dar is a major city in northwestern Ethiopia, known for its location on the southern shore of Lake Tana and as a gateway to the Blue Nile Falls and nearby monasteries.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589de64fc81909662197fdbe45446 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:41 p.m.