Triple
T20109141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ArcelorMittal Orbit |
E490278
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Orbit
Orbit is the common shortened name for the ArcelorMittal Orbit, a striking red steel observation tower and public artwork in London’s Queen Elizabeth Olympic Park.
|
E1411558
|
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: Orbit | Statement: [ArcelorMittal Orbit, hasAlternativeName, Orbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbit Context triple: [ArcelorMittal Orbit, hasAlternativeName, Orbit]
-
A.
Orbit
Orbit is a publishing imprint best known for releasing science fiction and fantasy books.
-
B.
Orbit
Orbit is the fuzzy green alien mascot of the Houston Astros, known for his playful antics and fan-friendly entertainment at the team’s baseball games.
-
C.
Orbit
Orbit is a popular brand of sugar-free chewing gum produced by the Wrigley Company, known for its variety of flavors and emphasis on oral health.
-
D.
In Orbit
In Orbit is a jazz album led by trumpeter Clark Terry, notable for featuring Thelonious Monk on piano.
-
E.
Orbital
Orbital is a British electronic music duo known for their influential role in the 1990s rave and techno scenes and their complex, layered compositions.
- 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: Orbit Triple: [ArcelorMittal Orbit, hasAlternativeName, Orbit]
Generated description
Orbit is the common shortened name for the ArcelorMittal Orbit, a striking red steel observation tower and public artwork in London’s Queen Elizabeth Olympic Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orbit Target entity description: Orbit is the common shortened name for the ArcelorMittal Orbit, a striking red steel observation tower and public artwork in London’s Queen Elizabeth Olympic Park.
-
A.
Orbit
Orbit is a publishing imprint best known for releasing science fiction and fantasy books.
-
B.
Orbit
Orbit is the fuzzy green alien mascot of the Houston Astros, known for his playful antics and fan-friendly entertainment at the team’s baseball games.
-
C.
Orbit
Orbit is a popular brand of sugar-free chewing gum produced by the Wrigley Company, known for its variety of flavors and emphasis on oral health.
-
D.
In Orbit
In Orbit is a jazz album led by trumpeter Clark Terry, notable for featuring Thelonious Monk on piano.
-
E.
Orbital
Orbital is a British electronic music duo known for their influential role in the 1990s rave and techno scenes and their complex, layered compositions.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666df1b148190a28ead2f7cce7aab |
completed | April 20, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082717054c8190b0a0a50c64d12a52 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0828c126608190b08561b45eee36eb |
completed | May 16, 2026, 8:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0829a921688190a52538f7537e4ce5 |
completed | May 16, 2026, 8:24 a.m. |
Created at: April 11, 2026, 11:28 p.m.