Triple
T14895664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sýr |
E359865
|
entity |
| Predicate | usedAs |
P98
|
FINISHED |
| Object |
heitiForFreyja
heitiForFreyja is an Old Norse poetic name (heiti) used as an alternate designation for the goddess Freyja in Norse mythology.
|
E1125077
|
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: heitiForFreyja | Statement: [Sýr, usedAs, heitiForFreyja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: heitiForFreyja Context triple: [Sýr, usedAs, heitiForFreyja]
-
A.
Hefti
Hefti is a Swiss surname most notably associated with figures in music, sports, and politics.
-
B.
Fira
Fira is a picturesque town on the Greek island of Santorini, known for its whitewashed buildings, cliffside views over the caldera, and vibrant tourism scene.
-
C.
Hei
Hei is a Japanese given name element commonly used in masculine names, often conveying meanings related to peace or soldiers depending on the kanji used.
-
D.
Herføl
Herføl is a small Norwegian island in the Hvaler archipelago, known for its coastal landscapes, holiday cottages, and access to boating and outdoor recreation.
-
E.
Font-Romeu
Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
- 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: heitiForFreyja Triple: [Sýr, usedAs, heitiForFreyja]
Generated description
heitiForFreyja is an Old Norse poetic name (heiti) used as an alternate designation for the goddess Freyja in Norse mythology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: heitiForFreyja Target entity description: heitiForFreyja is an Old Norse poetic name (heiti) used as an alternate designation for the goddess Freyja in Norse mythology.
-
A.
Hefti
Hefti is a Swiss surname most notably associated with figures in music, sports, and politics.
-
B.
Fira
Fira is a picturesque town on the Greek island of Santorini, known for its whitewashed buildings, cliffside views over the caldera, and vibrant tourism scene.
-
C.
Hei
Hei is a Japanese given name element commonly used in masculine names, often conveying meanings related to peace or soldiers depending on the kanji used.
-
D.
Herføl
Herføl is a small Norwegian island in the Hvaler archipelago, known for its coastal landscapes, holiday cottages, and access to boating and outdoor recreation.
-
E.
Font-Romeu
Font-Romeu is a mountain resort town in the French Pyrenees known for its ski facilities, sunny climate, and high-altitude sports training center.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6cc2ccb0819081e32dc9d2e3973a |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d9e9a648190920206c8f75cae2e |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 2:10 a.m.