Triple
T9332564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOLO (Search Oxford Libraries Online) |
E224558
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SOLO
SOLO is the University of Oxford’s main online library catalogue and discovery platform for accessing its collections of books, journals, and other resources.
|
E791492
|
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: SOLO | Statement: [SOLO (Search Oxford Libraries Online), abbreviation, SOLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOLO Context triple: [SOLO (Search Oxford Libraries Online), abbreviation, SOLO]
-
A.
Solo
Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
-
B.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
C.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
E.
Singur
Singur is a town in West Bengal, India, known nationally for its role in a major land acquisition and industrialization controversy involving the proposed Tata Nano car factory.
- 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: SOLO Triple: [SOLO (Search Oxford Libraries Online), abbreviation, SOLO]
Generated description
SOLO is the University of Oxford’s main online library catalogue and discovery platform for accessing its collections of books, journals, and other resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOLO Target entity description: SOLO is the University of Oxford’s main online library catalogue and discovery platform for accessing its collections of books, journals, and other resources.
-
A.
Solo
Solo is the surname of Hope Solo, the renowned American soccer goalkeeper and two-time Olympic gold medalist.
-
B.
Solo
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
C.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
D.
Solo
"Solo" is a Cold War-era thriller novel by Jack Higgins that follows a notorious professional assassin whose latest mission spirals into a deadly international conspiracy.
-
E.
Singur
Singur is a town in West Bengal, India, known nationally for its role in a major land acquisition and industrialization controversy involving the proposed Tata Nano car factory.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37afceb88190ad7ffbc7b47a1caa |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c806374c819096db10aaa94a6457 |
completed | April 4, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69d0c8a7190c819097e71c15f7924268 |
completed | April 4, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9e7e7d08190bddc6786f0fcea9e |
completed | April 4, 2026, 8:20 a.m. |
Created at: March 30, 2026, 7:39 p.m.