Triple
T21547431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karystos municipal unit |
E531661
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Nikasi
Nikasi is a small settlement within the Karystos municipal unit on the island of Euboea in Greece.
|
E1490487
|
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: Nikasi | Statement: [Karystos municipal unit, containsSettlement, Nikasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikasi Context triple: [Karystos municipal unit, containsSettlement, Nikasi]
-
A.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
B.
Nikai
Nikai is the namesake of the Nikai school, likely a person of significance such as a founder, benefactor, or notable figure associated with the institution.
-
C.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
D.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
E.
Kameari
Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
- 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: Nikasi Triple: [Karystos municipal unit, containsSettlement, Nikasi]
Generated description
Nikasi is a small settlement within the Karystos municipal unit on the island of Euboea in Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikasi Target entity description: Nikasi is a small settlement within the Karystos municipal unit on the island of Euboea in Greece.
-
A.
Nikaho
Nikaho is a coastal city in northern Japan known for its scenic Sea of Japan shoreline and location in southwestern Akita Prefecture.
-
B.
Nikai
Nikai is the namesake of the Nikai school, likely a person of significance such as a founder, benefactor, or notable figure associated with the institution.
-
C.
Sonamura
Sonamura is a town in the Indian state of Tripura, known as an administrative and commercial center near the India–Bangladesh border.
-
D.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
E.
Kameari
Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58fb6608190a58cd00ecf560834 |
completed | April 27, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eedf8e888190953f55c2e4f6b021 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09f198f9448190912060dbba608ded |
completed | May 17, 2026, 4:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f22264108190ac07cee73b91befb |
completed | May 17, 2026, 4:51 p.m. |
Created at: April 16, 2026, 6:28 p.m.