Triple
T14304232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N14 highway |
E354649
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Stella
Stella is a locality in South Africa that serves as a junction point along the N14 national highway.
|
E1091669
|
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: Stella | Statement: [N14 highway, connects, Stella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Context triple: [N14 highway, connects, Stella]
-
A.
Stella
Stella is the central character in the British television drama film "Gideon's Daughter," around whom the story's emotional and familial conflicts revolve.
-
B.
Stella
Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
-
C.
Stella
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
-
D.
Stella
Stella is a British comedy-drama television series created by and starring Ruth Jones, set in a small Welsh town and centered on the life of a warm-hearted single mother.
-
E.
Stella
Stella is one of the three iconic Faraglioni sea stacks off the coast of Capri, Italy, renowned for its dramatic limestone cliffs rising from the Mediterranean.
- 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: Stella Triple: [N14 highway, connects, Stella]
Generated description
Stella is a locality in South Africa that serves as a junction point along the N14 national highway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stella Target entity description: Stella is a locality in South Africa that serves as a junction point along the N14 national highway.
-
A.
Stella
Stella is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Ligurian coast.
-
B.
Stella
Stella is one of the three iconic Faraglioni sea stacks off the coast of Capri, Italy, renowned for its dramatic limestone cliffs rising from the Mediterranean.
-
C.
Stella
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
-
D.
Stella
Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
-
E.
Stella
Stella is a character in Jean Toomer’s modernist work "Cane," appearing in the section "Kabnis" as part of its exploration of race, identity, and the Black experience in the American South.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3edf42788190b50b1144a7de41df |
completed | May 8, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3fbd931081908ba0b1838d9be49c |
completed | May 8, 2026, 1:43 a.m. |
Created at: April 10, 2026, 1:12 a.m.