Triple
T5525688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirpitz |
E144915
|
entity |
| Predicate | sinkingLocation |
P3148
|
FINISHED |
| Object |
Håkøya, Norway
Håkøya, Norway is a small island near Tromsø best known as the site where the German battleship Tirpitz was sunk during World War II.
|
E530123
|
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: Håkøya, Norway | Statement: [Tirpitz, sinkingLocation, Håkøya, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Håkøya, Norway Context triple: [Tirpitz, sinkingLocation, Håkøya, Norway]
-
A.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
B.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
C.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
D.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
E.
Kvitøya
Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
- 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: Håkøya, Norway Triple: [Tirpitz, sinkingLocation, Håkøya, Norway]
Generated description
Håkøya, Norway is a small island near Tromsø best known as the site where the German battleship Tirpitz was sunk during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Håkøya, Norway Target entity description: Håkøya, Norway is a small island near Tromsø best known as the site where the German battleship Tirpitz was sunk during World War II.
-
A.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
B.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
C.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
D.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
E.
Kvitøya
Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f89112c8190b276317fcc2acce0 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027fa22108190b55c07fe930ca4f1 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c040a395488190bea2fd651c3aeef7 |
completed | March 22, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04141ea408190aba1463d56ad6b7d |
completed | March 22, 2026, 7:21 p.m. |
Created at: March 22, 2026, 3:34 p.m.