Triple
T4240434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Mälaren |
E95397
|
entity |
| Predicate | notableIsland |
P756
|
FINISHED |
| Object |
Helgö
Helgö is a historically significant island in Sweden known for its rich archaeological finds from the Iron Age and Viking era.
|
E424578
|
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: Helgö | Statement: [Lake Mälaren, notableIsland, Helgö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helgö Context triple: [Lake Mälaren, notableIsland, Helgö]
-
A.
Lenakel
Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
-
B.
Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
-
C.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
D.
Vaxön
Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
-
E.
Holmön archipelago
Holmön archipelago is a group of islands off the coast of northern Sweden known for its nature reserve status, traditional fishing culture, and location in the northern Baltic Sea.
- 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: Helgö Triple: [Lake Mälaren, notableIsland, Helgö]
Generated description
Helgö is a historically significant island in Sweden known for its rich archaeological finds from the Iron Age and Viking era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helgö Target entity description: Helgö is a historically significant island in Sweden known for its rich archaeological finds from the Iron Age and Viking era.
-
A.
Lenakel
Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
-
B.
Breiðholt
Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
-
C.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
D.
Vaxön
Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
-
E.
Holmön archipelago
Holmön archipelago is a group of islands off the coast of northern Sweden known for its nature reserve status, traditional fishing culture, and location in the northern Baltic Sea.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e77fb5c8190b298818acb68ff63 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86fe7708190a64ba187fb302c9a |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a94e637881909a20bb1df0cd5768 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9d9b28081909d7dc97b02209318 |
completed | March 14, 2026, 6:32 p.m. |
Created at: March 12, 2026, 11:05 p.m.