Triple
T16368036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury |
E397485
|
entity |
| Predicate | consort |
P13
|
FINISHED |
| Object |
Larunda
Larunda is a nymph in Roman mythology, often associated with silence and the underworld, who becomes linked to the god Mercury as his companion.
|
E1209207
|
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: Larunda | Statement: [Mercury, consort, Larunda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larunda Context triple: [Mercury, consort, Larunda]
-
A.
Luena
Luena is a city in eastern Angola that served as a significant site during the Angolan Civil War and later became known as the burial place of UNITA leader Jonas Savimbi.
-
B.
Chapecó
Chapecó is a major city in the state of Santa Catarina known as an important regional hub for agribusiness and food processing in southern Brazil.
-
C.
Tarija
Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
-
D.
Ossorio
Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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: Larunda Triple: [Mercury, consort, Larunda]
Generated description
Larunda is a nymph in Roman mythology, often associated with silence and the underworld, who becomes linked to the god Mercury as his companion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larunda Target entity description: Larunda is a nymph in Roman mythology, often associated with silence and the underworld, who becomes linked to the god Mercury as his companion.
-
A.
Luena
Luena is a city in eastern Angola that served as a significant site during the Angolan Civil War and later became known as the burial place of UNITA leader Jonas Savimbi.
-
B.
Chapecó
Chapecó is a major city in the state of Santa Catarina known as an important regional hub for agribusiness and food processing in southern Brazil.
-
C.
Tarija
Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
-
D.
Ossorio
Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
-
E.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3f0694819097faa1c1447a9e97 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc29f088190ba5d69ff3c12a251 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:08 a.m.