Triple
T5244441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresienwiese |
E118422
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Theresa Meadow@en
Theresa Meadow is the English name for Theresienwiese, the large open space in Munich best known as the main site of the annual Oktoberfest beer festival.
|
E504726
|
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: Theresa Meadow@en | Statement: [Theresienwiese, hasNameInLanguage, Theresa Meadow@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Meadow@en Context triple: [Theresienwiese, hasNameInLanguage, Theresa Meadow@en]
-
A.
Meadow Mari
Meadow Mari is a Uralic (Finno-Ugric) language spoken primarily by the Meadow Mari people in the Mari El Republic of Russia.
-
B.
Theresa
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
C.
Teressa
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
-
D.
Sharon Meadow
Sharon Meadow is a popular open grassy area in San Francisco’s Golden Gate Park often used for picnics, festivals, and outdoor events.
-
E.
Theresa Ann Lane
Theresa Ann Lane is best known as the wife of legendary American country music singer and songwriter Merle Haggard.
- 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: Theresa Meadow@en Triple: [Theresienwiese, hasNameInLanguage, Theresa Meadow@en]
Generated description
Theresa Meadow is the English name for Theresienwiese, the large open space in Munich best known as the main site of the annual Oktoberfest beer festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theresa Meadow@en Target entity description: Theresa Meadow is the English name for Theresienwiese, the large open space in Munich best known as the main site of the annual Oktoberfest beer festival.
-
A.
Meadow Mari
Meadow Mari is a Uralic (Finno-Ugric) language spoken primarily by the Meadow Mari people in the Mari El Republic of Russia.
-
B.
Theresa
Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
-
C.
Teressa
Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
-
D.
Sharon Meadow
Sharon Meadow is a popular open grassy area in San Francisco’s Golden Gate Park often used for picnics, festivals, and outdoor events.
-
E.
Theresa Ann Lane
Theresa Ann Lane is best known as the wife of legendary American country music singer and songwriter Merle Haggard.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4fa0ec8190bce3da09aa768726 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef82f2738819080c5a0963f6dbbb0 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef909df208190b96b2a7a4a404f69 |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef96ed108819084cc9e44ae415a6d |
completed | March 21, 2026, 8:02 p.m. |
Created at: March 20, 2026, 1:49 p.m.