Triple
T3443187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsingin Sanomat |
E72611
|
entity |
| Predicate | hasSupplement |
P20051
|
FINISHED |
| Object |
Kuukausiliite
Kuukausiliite is the monthly magazine-style supplement of the Finnish newspaper Helsingin Sanomat, known for its long-form journalism, features, and cultural content.
|
E356533
|
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: Kuukausiliite | Statement: [Helsingin Sanomat, hasSupplement, Kuukausiliite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuukausiliite Context triple: [Helsingin Sanomat, hasSupplement, Kuukausiliite]
-
A.
Two Moon
Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
-
B.
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
C.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
D.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
E.
The Mare
The Mare is a literary work also known by its Yiddish title "Dos kleyne mentshele," reflecting themes of everyday life and human character.
- 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: Kuukausiliite Triple: [Helsingin Sanomat, hasSupplement, Kuukausiliite]
Generated description
Kuukausiliite is the monthly magazine-style supplement of the Finnish newspaper Helsingin Sanomat, known for its long-form journalism, features, and cultural content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuukausiliite Target entity description: Kuukausiliite is the monthly magazine-style supplement of the Finnish newspaper Helsingin Sanomat, known for its long-form journalism, features, and cultural content.
-
A.
Two Moon
Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
-
B.
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
C.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
D.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
E.
The Mare
The Mare is a literary work also known by its Yiddish title "Dos kleyne mentshele," reflecting themes of everyday life and human character.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2a605c8190a0eafdf6f25b1e38 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35486f7a08190885e98bb89e74f15 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35547a9a881909d754625806cff2a |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355f06f3c8190b0dd4c3544fc47a7 |
completed | March 13, 2026, 12:10 a.m. |
Created at: March 8, 2026, 3:16 p.m.