Triple
T4431800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achaea |
E95347
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kato Achaia
Kato Achaia is a town in the regional unit of Achaea in western Greece, serving as a local administrative and commercial center near the Gulf of Patras.
|
E440095
|
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: Kato Achaia | Statement: [Achaea, containsSettlement, Kato Achaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kato Achaia Context triple: [Achaea, containsSettlement, Kato Achaia]
-
A.
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Kato Pedina
Kato Pedina is a traditional stone-built mountain village in the Zagori region of Epirus, northwestern Greece, known for its scenic landscapes and historic architecture.
-
D.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
E.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
- 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: Kato Achaia Triple: [Achaea, containsSettlement, Kato Achaia]
Generated description
Kato Achaia is a town in the regional unit of Achaea in western Greece, serving as a local administrative and commercial center near the Gulf of Patras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kato Achaia Target entity description: Kato Achaia is a town in the regional unit of Achaea in western Greece, serving as a local administrative and commercial center near the Gulf of Patras.
-
A.
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
B.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
C.
Kato Pedina
Kato Pedina is a traditional stone-built mountain village in the Zagori region of Epirus, northwestern Greece, known for its scenic landscapes and historic architecture.
-
D.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
E.
Gotō
Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136f350c81908d00eff850951ab0 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61439a86c8190849c5af718ddc647 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614d6106c81908a601f540622f934 |
completed | March 15, 2026, 2:09 a.m. |
Created at: March 12, 2026, 11:31 p.m.