Triple
T5387122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engadine |
E120227
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Celerina
Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
|
E515096
|
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: Celerina | Statement: [Engadine, contains, Celerina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celerina Context triple: [Engadine, contains, Celerina]
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Miss Almira Gulch
Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
-
D.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
E.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade 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: Celerina Triple: [Engadine, contains, Celerina]
Generated description
Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celerina Target entity description: Celerina is a picturesque alpine village and ski resort in the Upper Engadine region of Switzerland, known for its sunny climate and proximity to St. Moritz.
-
A.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Miss Almira Gulch
Miss Almira Gulch is the stern, bicycle-riding antagonist from the 1939 film "The Wizard of Oz," who serves as the real-world counterpart to the Wicked Witch of the West.
-
D.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
E.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd86f8d81081909174027a4fe640f2 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf295542b08190849e48dbf826d9ec |
completed | March 21, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69bf2a0aa4608190ad696442aa56dad5 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2a64313881908d12d0c27a97927b |
completed | March 21, 2026, 11:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.