Triple
T17765855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 Dubai mascots |
E443502
|
entity |
| Predicate | includeCharacter |
P12208
|
FINISHED |
| Object | Opti |
—
|
NE NERFINISHED |
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: Opti | Statement: [Expo 2020 Dubai mascots, includeCharacter, Opti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opti Context triple: [Expo 2020 Dubai mascots, includeCharacter, Opti]
-
A.
Opti
chosen
Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
-
B.
Optimates
The Optimates were a conservative political faction in the late Roman Republic that championed senatorial authority and traditional aristocratic privileges against popular reformers like Julius Caesar.
-
C.
Optimum
Optimum is a telecommunications brand offering cable television, internet, and phone services, primarily in the United States.
-
D.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
E.
Panoptix
Panoptix is a Johnson Controls software platform that provides cloud-based building management and energy optimization solutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fc03e48190a8044e1b40f66f20 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.