Triple
T2570727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acre |
E57659
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Akkō
Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
|
E385026
|
NE FINISHED |
How this triple was built (4 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: Akkō | Statement: [Acre, alternativeName, Akkō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akkō Context triple: [Acre, alternativeName, Akkō]
-
A.
Imabari
Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
-
B.
Shimonoseki
Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
-
C.
Kakogawa
Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
-
D.
Tokushima
Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
-
E.
Hanko
Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akkō Triple: [Acre, alternativeName, Akkō]
Generated description
Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akkō Target entity description: Akkō is a historic port city in northern Israel, also known as Acre, renowned for its well-preserved Crusader and Ottoman architecture.
-
A.
Imabari
Imabari is a coastal city in Ehime Prefecture, Japan, known for its shipbuilding industry, towel production, and as a gateway to the Shimanami Kaido cycling route.
-
B.
Shimonoseki
Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
-
C.
Kakogawa
Kakogawa is an industrial and residential city in central Hyōgo Prefecture, Japan, known for its steel manufacturing and role as a regional transportation hub.
-
D.
Tokushima
Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
-
E.
Hanko
Hanko is a coastal town in southern Finland known for its beaches, maritime heritage, and status as the country’s southernmost city.
- F. None of above. chosen
Provenance (5 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd382928c8190b6316f3db48d8e73 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dae21cf08190913e7b764b3acb20 |
completed | March 14, 2026, 3:49 a.m. |
| NEDg | Description generation | batch_69b4dc2c274c8190a7c8fa419186e188 |
completed | March 14, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e0065b008190b2ad78546e563b4d |
completed | March 14, 2026, 4:11 a.m. |
Created at: March 6, 2026, 9:48 p.m.