Triple
T11017361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hæren |
E260396
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object |
Porsangmoen
Porsangmoen is a Norwegian Army military base and training area located in Porsanger, Finnmark, in northern Norway.
|
E900242
|
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: Porsangmoen | Statement: [Hæren, garrison, Porsangmoen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porsangmoen Context triple: [Hæren, garrison, Porsangmoen]
-
A.
Jangsaengpo
Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
-
B.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
C.
Panggi
Panggi is a subgroup or community within the larger Adi ethnic group of Arunachal Pradesh in northeastern India.
-
D.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
E.
Pagaruyung
Pagaruyung is a historic royal city in West Sumatra that served as the seat of the Minangkabau kingdom and remains an important symbol of Minangkabau culture and heritage.
- 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: Porsangmoen Triple: [Hæren, garrison, Porsangmoen]
Generated description
Porsangmoen is a Norwegian Army military base and training area located in Porsanger, Finnmark, in northern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porsangmoen Target entity description: Porsangmoen is a Norwegian Army military base and training area located in Porsanger, Finnmark, in northern Norway.
-
A.
Jangsaengpo
Jangsaengpo is a coastal district in Ulsan, South Korea, historically known as a major whaling port and now a center for marine and whale-related tourism.
-
B.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
C.
Panggi
Panggi is a subgroup or community within the larger Adi ethnic group of Arunachal Pradesh in northeastern India.
-
D.
Ngaju
Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
-
E.
Pagaruyung
Pagaruyung is a historic royal city in West Sumatra that served as the seat of the Minangkabau kingdom and remains an important symbol of Minangkabau culture and heritage.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a7f4a881908232f99d18d95149 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 8, 2026, 9:25 p.m.