Triple
T9162033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ga-Dangme people |
E219846
|
entity |
| Predicate | traditionalArea |
P14194
|
FINISHED |
| Object | Teshie |
E182924
|
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: Teshie | Statement: [Ga-Dangme people, traditionalArea, Teshie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teshie Context triple: [Ga-Dangme people, traditionalArea, Teshie]
-
A.
Teshie
chosen
Teshie is a coastal suburban town in the Greater Accra Region of Ghana, known for its vibrant Ga culture, fishing community, and annual Homowo and Kpeshie festivals.
-
B.
Ikeja
Ikeja is a major commercial and administrative hub in Nigeria, serving as the capital of Lagos State and hosting numerous businesses, government offices, and the Murtala Muhammed International Airport.
-
C.
Itabashi
Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
-
D.
Sumida City
Sumida City is a special ward of Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional downtown neighborhoods.
-
E.
Asakusabashi
Asakusabashi is a district in Tokyo known for its traditional wholesale shops, craft stores, and convenient access to central city areas.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2c1a9881909b7100b6e436386d |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054770a0c819095cf0a7cc8d1a057 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.