Triple
T18680668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Business Bay (Dubai) |
E456723
|
entity |
| Predicate | skylineCharacter |
P80209
|
FINISHED |
| Object | modern |
—
|
LITERAL FINISHED |
How this triple was built (2 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: modern | Statement: [Business Bay (Dubai), skylineCharacter, modern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skylineCharacter Context triple: [Business Bay (Dubai), skylineCharacter, modern]
-
A.
metCharacter
Indicates that one entity has encountered or been introduced to another entity at least once.
-
B.
brandCharacter
Indicates that one entity serves as a brand character or mascot representing another entity (typically a brand or product).
-
C.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
D.
exteriorCharacter
chosen
Indicates a relationship where one entity’s outward or visible qualities, features, or appearance are being characterized or described.
-
E.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
- F. None of above.
Provenance (3 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2840548190ababe1cc603b4784 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.