Triple
T19747790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Pol-de-Léon |
E474297
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Sibiril
Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
|
E1393708
|
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: Sibiril | Statement: [canton of Saint-Pol-de-Léon, containsAdministrativeTerritorialEntity, Sibiril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibiril Context triple: [canton of Saint-Pol-de-Léon, containsAdministrativeTerritorialEntity, Sibiril]
-
A.
Sibir
Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
-
B.
Sibir
Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
-
C.
Siberut
Siberut is the largest and most remote of Indonesia’s Mentawai Islands, known for its rich rainforest biodiversity and the traditional culture of the indigenous Mentawai people.
-
D.
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
E.
Siberia
Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
- 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: Sibiril Triple: [canton of Saint-Pol-de-Léon, containsAdministrativeTerritorialEntity, Sibiril]
Generated description
Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sibiril Target entity description: Sibiril is a small coastal commune in the Finistère department of Brittany in northwestern France.
-
A.
Sibir
Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
-
B.
Sibir
Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
-
C.
Siberut
Siberut is the largest and most remote of Indonesia’s Mentawai Islands, known for its rich rainforest biodiversity and the traditional culture of the indigenous Mentawai people.
-
D.
Sibirskaya
Sibirskaya is a station on the Novosibirsk Metro system in Novosibirsk, Russia.
-
E.
Siberia
Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd62a4948190a18cb92909593839 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be450e608190a008095b0502b2d3 |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bed9c62c819088d8e32f92b3b147 |
completed | May 16, 2026, 12:48 a.m. |
Created at: April 10, 2026, 1:47 p.m.