Triple
T20382084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lääne-Harju Parish |
E497859
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alliklepa
Alliklepa is a small village in northern Estonia, located within Harju County near the coast of the Baltic Sea.
|
E1428269
|
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: Alliklepa | Statement: [Lääne-Harju Parish, contains, Alliklepa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alliklepa Context triple: [Lääne-Harju Parish, contains, Alliklepa]
-
A.
Asalluhi
Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
-
B.
Alliluev
Alliluev is a Russian masculine surname, notably associated with the family of Nadezhda Alliluyeva, Joseph Stalin’s second wife.
-
C.
Aller
Aller is a municipality in the Asturian mining region of northern Spain, known for its mountainous landscapes, coal-mining heritage, and rural villages.
-
D.
Aller
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
E.
Allada
Allada was a precolonial West African kingdom in present-day Benin that became an important Aja state and regional trading center before being absorbed by the expanding Kingdom of Dahomey.
- 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: Alliklepa Triple: [Lääne-Harju Parish, contains, Alliklepa]
Generated description
Alliklepa is a small village in northern Estonia, located within Harju County near the coast of the Baltic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alliklepa Target entity description: Alliklepa is a small village in northern Estonia, located within Harju County near the coast of the Baltic Sea.
-
A.
Asalluhi
Asalluhi is a Mesopotamian god associated with incantations, healing, and exorcism, often linked to the later Babylonian deity Marduk.
-
B.
Alliluev
Alliluev is a Russian masculine surname, notably associated with the family of Nadezhda Alliluyeva, Joseph Stalin’s second wife.
-
C.
Aller
Aller is a municipality in the Asturian mining region of northern Spain, known for its mountainous landscapes, coal-mining heritage, and rural villages.
-
D.
Aller
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
E.
Allada
Allada was a precolonial West African kingdom in present-day Benin that became an important Aja state and regional trading center before being absorbed by the expanding Kingdom of Dahomey.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b0ee708190bdbe4aab28a61525 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087614b27c8190b5507fc1f2ef2891 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a08778ad444819094ab2194a97091bd |
completed | May 16, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08786c55cc81909d7195602f483d13 |
completed | May 16, 2026, 2 p.m. |
Created at: April 16, 2026, 11:27 a.m.