Triple
T16202477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolaos Skoufas municipality |
E393236
|
entity |
| Predicate | hasGovernmentSeat |
P761
|
FINISHED |
| Object |
Peta
Peta is a town in western Greece that serves as an administrative and local service center within the region of Arta.
|
E1199625
|
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: Peta | Statement: [Nikolaos Skoufas municipality, hasGovernmentSeat, Peta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peta Context triple: [Nikolaos Skoufas municipality, hasGovernmentSeat, Peta]
-
A.
Peta
Peta is a rice variety that served as one of the key high-yielding parents in the development of the famous IR8 "miracle rice."
-
B.
Mapun
Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
-
C.
Ngulu
Ngulu is a small inhabited island in the Ngulu Atoll of the Federated States of Micronesia, serving as the main settlement and administrative center of the atoll.
-
D.
Viti
Viti is a small settlement located within Harku Parish in northern Estonia.
-
E.
Peka Peka
Peka Peka is a small coastal settlement on New Zealand’s Kāpiti Coast, known for its quiet beachside character and natural surroundings.
- 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: Peta Triple: [Nikolaos Skoufas municipality, hasGovernmentSeat, Peta]
Generated description
Peta is a town in western Greece that serves as an administrative and local service center within the region of Arta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peta Target entity description: Peta is a town in western Greece that serves as an administrative and local service center within the region of Arta.
-
A.
Peta
Peta is a rice variety that served as one of the key high-yielding parents in the development of the famous IR8 "miracle rice."
-
B.
Mapun
Mapun is an Austronesian language spoken primarily by the Mapun people of the southern Philippines, particularly on Mapun (Cagayan de Sulu) Island in the Sulu Sea.
-
C.
Ngulu
Ngulu is a small inhabited island in the Ngulu Atoll of the Federated States of Micronesia, serving as the main settlement and administrative center of the atoll.
-
D.
Viti
Viti is a small settlement located within Harku Parish in northern Estonia.
-
E.
Peka Peka
Peka Peka is a small coastal settlement on New Zealand’s Kāpiti Coast, known for its quiet beachside character and natural surroundings.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270b84408190bfbf68f32bfc5b1a |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff130bcc8190a965d90e123d2dd9 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000066aa8c819088014d3f03b0e8cc |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00012ec15c8190a09e1b37bc560f67 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:03 a.m.