Triple
T2666683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerkwartier |
E55651
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ezinge
Ezinge is a historic village in the Dutch province of Groningen, known for its ancient artificial dwelling mound (terp) and archaeological significance.
|
E288584
|
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: Ezinge | Statement: [Westerkwartier, containsSettlement, Ezinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezinge Context triple: [Westerkwartier, containsSettlement, Ezinge]
-
A.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
E.
Ngizim
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
- 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: Ezinge Triple: [Westerkwartier, containsSettlement, Ezinge]
Generated description
Ezinge is a historic village in the Dutch province of Groningen, known for its ancient artificial dwelling mound (terp) and archaeological significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ezinge Target entity description: Ezinge is a historic village in the Dutch province of Groningen, known for its ancient artificial dwelling mound (terp) and archaeological significance.
-
A.
Ndzebi
Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
-
B.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Nzega
Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
-
E.
Ngizim
Ngizim is a West Chadic language spoken primarily by the Ngizim people in northeastern Nigeria.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd97040e48190b0a87489f108810e |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa15a8a94819095273a3ea37e2c73 |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.