Triple
T10428317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannestad |
E245842
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Maura
Maura is a village in Nannestad Municipality in Viken county, Norway, known as a residential community with local services and proximity to Oslo Airport Gardermoen.
|
E862685
|
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: Maura | Statement: [Nannestad, hasSettlement, Maura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Context triple: [Nannestad, hasSettlement, Maura]
-
A.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
B.
Maura Isles
Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
-
C.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
D.
Maureen
Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Maura Pfefferman
Maura Pfefferman is the transgender matriarch at the center of the television series "Transparent," whose late-in-life transition reshapes her family's dynamics and self-understanding.
- 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: Maura Triple: [Nannestad, hasSettlement, Maura]
Generated description
Maura is a village in Nannestad Municipality in Viken county, Norway, known as a residential community with local services and proximity to Oslo Airport Gardermoen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maura Target entity description: Maura is a village in Nannestad Municipality in Viken county, Norway, known as a residential community with local services and proximity to Oslo Airport Gardermoen.
-
A.
Maura
Maura is a feminine given name commonly used in English-speaking countries, often considered a variant of Mary or Maureen.
-
B.
Maura Isles
Maura Isles is a brilliant, fashion-conscious medical examiner and one of the two central protagonists in the crime drama series "Rizzoli & Isles."
-
C.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
D.
Maureen
Maureen is a feminine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Maura Pfefferman
Maura Pfefferman is the transgender matriarch at the center of the television series "Transparent," whose late-in-life transition reshapes her family's dynamics and self-understanding.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2d54048190b25f4d168a75ad3a |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d85a00e7f48190bf87ce9d04acc750 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:13 p.m.