Triple
T15244204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alta Municipality |
E364335
|
entity |
| Predicate | hasPopulationCentre |
P2106
|
FINISHED |
| Object |
Kronstad
Kronstad is a small population centre located within Alta Municipality in northern Norway.
|
E1162694
|
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: Kronstad | Statement: [Alta Municipality, hasPopulationCentre, Kronstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kronstad Context triple: [Alta Municipality, hasPopulationCentre, Kronstad]
-
A.
Wolmaransstad
Wolmaransstad is a small agricultural and mining town in South Africa’s North West province, situated on a major national transport route.
-
B.
Blauwestad
Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
-
C.
Uitenhage
Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
-
D.
Calitzdorp
Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
-
E.
Graskop
Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
- 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: Kronstad Triple: [Alta Municipality, hasPopulationCentre, Kronstad]
Generated description
Kronstad is a small population centre located within Alta Municipality in northern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kronstad Target entity description: Kronstad is a small population centre located within Alta Municipality in northern Norway.
-
A.
Wolmaransstad
Wolmaransstad is a small agricultural and mining town in South Africa’s North West province, situated on a major national transport route.
-
B.
Blauwestad
Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
-
C.
Uitenhage
Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
-
D.
Calitzdorp
Calitzdorp is a small town in South Africa’s Western Cape renowned for its port-style wines and scenic setting along Route 62.
-
E.
Graskop
Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3b3fc0819094daf892200bd1ac |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff40fa8b8c8190b75987e897a20cf5 |
completed | May 9, 2026, 2:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4158866c819087240d56e613f75c |
completed | May 9, 2026, 2:14 p.m. |
Created at: April 10, 2026, 3:13 a.m.