Triple
T8454916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sveta Nedelja, Croatia |
E199895
|
entity |
| Predicate | belongsToNUTSRegion |
P9956
|
FINISHED |
| Object |
HR04
HR04 is a NUTS statistical region of Croatia that encompasses the area including the town of Sveta Nedelja.
|
E735119
|
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: HR04 | Statement: [Sveta Nedelja, Croatia, belongsToNUTSRegion, HR04]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HR04 Context triple: [Sveta Nedelja, Croatia, belongsToNUTSRegion, HR04]
-
A.
HQ4
HQ4 is one of the television production studios within Dock10’s media facility at MediaCityUK in Salford, England.
-
B.
HART
HART is the public bus transportation system serving the Huntington area, providing local transit services to residents and visitors.
-
C.
Accu-Chek
Accu-Chek is a Roche-owned brand of blood glucose monitoring systems and diabetes care products used by people with diabetes to track and manage their blood sugar levels.
-
D.
HC-4
HC-4 is a model of Coast Guard aircraft used for maritime patrol, search and rescue, and related operational missions.
-
E.
Vernier
Vernier is a municipality in the canton of Geneva in southwestern Switzerland, forming part of the Geneva metropolitan area.
- 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: HR04 Triple: [Sveta Nedelja, Croatia, belongsToNUTSRegion, HR04]
Generated description
HR04 is a NUTS statistical region of Croatia that encompasses the area including the town of Sveta Nedelja.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HR04 Target entity description: HR04 is a NUTS statistical region of Croatia that encompasses the area including the town of Sveta Nedelja.
-
A.
HQ4
HQ4 is one of the television production studios within Dock10’s media facility at MediaCityUK in Salford, England.
-
B.
HART
HART is the public bus transportation system serving the Huntington area, providing local transit services to residents and visitors.
-
C.
Accu-Chek
Accu-Chek is a Roche-owned brand of blood glucose monitoring systems and diabetes care products used by people with diabetes to track and manage their blood sugar levels.
-
D.
HC-4
HC-4 is a model of Coast Guard aircraft used for maritime patrol, search and rescue, and related operational missions.
-
E.
Vernier
Vernier is a municipality in the canton of Geneva in southwestern Switzerland, forming part of the Geneva metropolitan area.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48ca9988190b60ebd09a135194d |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1de232508190803fd2dad21e677f |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1f88d404819096c6024c0e61d1ea |
completed | April 2, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209338b48190ba8375200a5529bd |
completed | April 2, 2026, 7:53 a.m. |
Created at: March 30, 2026, 6:10 p.m.