Triple
T21807728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmaboda Municipality |
E538390
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Emmaboda
Emmaboda is a small town in southeastern Sweden known for its railway junction and as the administrative center of Emmaboda Municipality in Kalmar County.
|
E1502290
|
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: Emmaboda | Statement: [Emmaboda Municipality, seat, Emmaboda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmaboda Context triple: [Emmaboda Municipality, seat, Emmaboda]
-
A.
Bodden
Bodden is an English-origin surname most commonly associated with families from the Cayman Islands and other parts of the Caribbean.
-
B.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
C.
Mayen
Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
-
D.
Mayen
Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
-
E.
Taleigao
Taleigao is a suburban locality near Panaji in the Indian state of Goa, known for its residential neighborhoods, churches, and traditional Goan culture.
- 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: Emmaboda Triple: [Emmaboda Municipality, seat, Emmaboda]
Generated description
Emmaboda is a small town in southeastern Sweden known for its railway junction and as the administrative center of Emmaboda Municipality in Kalmar County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emmaboda Target entity description: Emmaboda is a small town in southeastern Sweden known for its railway junction and as the administrative center of Emmaboda Municipality in Kalmar County.
-
A.
Bodden
Bodden is an English-origin surname most commonly associated with families from the Cayman Islands and other parts of the Caribbean.
-
B.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
C.
Mayen
Mayen is a surname most notably borne by Dutch seafarer and explorer Jan Jacobszoon Mayen, after whom the Arctic island of Jan Mayen is named.
-
D.
Mayen
Mayen is a town in western Germany’s Rhineland-Palatinate region, known for its historic castle and role as a local economic and cultural center.
-
E.
Taleigao
Taleigao is a suburban locality near Panaji in the Indian state of Goa, known for its residential neighborhoods, churches, and traditional Goan culture.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e86d8ec81908c8a5a63903e44a4 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f4358d48190a88208a55d19a9ef |
completed | May 17, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a404206e0819080c640619cd277ab |
completed | May 17, 2026, 10:25 p.m. |
Created at: April 16, 2026, 6:53 p.m.