Triple
T6394403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streymoy |
E143905
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Saksun
Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
|
E591331
|
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: Saksun | Statement: [Streymoy, hasVillage, Saksun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saksun Context triple: [Streymoy, hasVillage, Saksun]
-
A.
Saksa
Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
-
B.
Sorbs
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
C.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
D.
Schleswig
Schleswig is a historic town in northern Germany known for its Viking heritage, medieval cathedral, and location on the Schlei inlet.
-
E.
Germania
Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
- 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: Saksun Triple: [Streymoy, hasVillage, Saksun]
Generated description
Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saksun Target entity description: Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
-
A.
Saksa
Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
-
B.
Sorbs
The Sorbs are a Slavic ethnic minority primarily living in eastern Germany, known for preserving their distinct Sorbian language and cultural traditions.
-
C.
Teutônia
Teutônia is a municipality in the Brazilian state of Rio Grande do Sul known for its strong German-Brazilian cultural heritage and traditions.
-
D.
Schleswig
Schleswig is a historic town in northern Germany known for its Viking heritage, medieval cathedral, and location on the Schlei inlet.
-
E.
Germania
Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638935934819096a34da6f1b5110b |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63c71ac188190ad7912d2e6a68af8 |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cdf225c8190b26a23496d0acc1a |
completed | March 27, 2026, 8:16 a.m. |
Created at: March 22, 2026, 4:35 p.m.