Triple
T10229659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älmhult Municipality |
E243305
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Eneryda
Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
|
E851304
|
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: Eneryda | Statement: [Älmhult Municipality, contains, Eneryda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eneryda Context triple: [Älmhult Municipality, contains, Eneryda]
-
A.
Enoee
Enoee refers to the Eno people, a Native American group historically located in what is now the southeastern United States.
-
B.
Enodia
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
-
C.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
D.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
E.
Salkia
Salkia is a densely populated residential and commercial neighborhood in Howrah, West Bengal, known for its proximity to Kolkata and its busy markets and transport links.
- 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: Eneryda Triple: [Älmhult Municipality, contains, Eneryda]
Generated description
Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eneryda Target entity description: Eneryda is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
-
A.
Enoee
Enoee refers to the Eno people, a Native American group historically located in what is now the southeastern United States.
-
B.
Enodia
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
-
C.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
D.
Ermera
Ermera is a mountainous municipality in central Timor-Leste known for its coffee production and significant Mambae-speaking population.
-
E.
Salkia
Salkia is a densely populated residential and commercial neighborhood in Howrah, West Bengal, known for its proximity to Kolkata and its busy markets and transport links.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.