Triple
T20132265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Oxford |
E490924
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Apollo
The Apollo is a renowned live entertainment venue in Oxford, England, hosting concerts, comedy, and theatrical performances.
|
E1412966
|
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: The Apollo | Statement: [Apollo Oxford, alsoKnownAs, The Apollo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Apollo Context triple: [Apollo Oxford, alsoKnownAs, The Apollo]
-
A.
Apollo
Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
-
B.
Apollo
Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
-
C.
Apollo
Apollo is a well-known brand that produces a range of bicycles and related cycling products.
-
D.
Fuente de Apolo
Fuente de Apolo is a neoclassical monumental fountain in Madrid dedicated to the god Apollo, located along the historic Paseo del Prado.
-
E.
Apollo's Chariot
Apollo's Chariot is a steel hyper coaster at Busch Gardens Williamsburg, renowned for its airtime-filled layout and iconic purple and gold trains.
- 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: The Apollo Triple: [Apollo Oxford, alsoKnownAs, The Apollo]
Generated description
The Apollo is a renowned live entertainment venue in Oxford, England, hosting concerts, comedy, and theatrical performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Apollo Target entity description: The Apollo is a renowned live entertainment venue in Oxford, England, hosting concerts, comedy, and theatrical performances.
-
A.
Apollo
Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
-
B.
Apollo
Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
-
C.
Apollo
Apollo is a well-known brand that produces a range of bicycles and related cycling products.
-
D.
Fuente de Apolo
Fuente de Apolo is a neoclassical monumental fountain in Madrid dedicated to the god Apollo, located along the historic Paseo del Prado.
-
E.
Apollo's Chariot
Apollo's Chariot is a steel hyper coaster at Busch Gardens Williamsburg, renowned for its airtime-filled layout and iconic purple and gold trains.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66762f0448190b7dbbc665e179ffc |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082dddf6388190b765f9092d2f035a |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082e93a1e88190bac5daae12ece9f2 |
completed | May 16, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082f334dd481908edb6ea3ae07e0a7 |
completed | May 16, 2026, 8:47 a.m. |
Created at: April 11, 2026, 11:31 p.m.