Triple
T17765854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 Dubai mascots |
E443502
|
entity |
| Predicate | includeCharacter |
P12208
|
FINISHED |
| Object | Alif |
—
|
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: Alif | Statement: [Expo 2020 Dubai mascots, includeCharacter, Alif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alif Context triple: [Expo 2020 Dubai mascots, includeCharacter, Alif]
-
A.
Alif
chosen
Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
-
B.
Alif Lam Mim
Alif Lam Mim is a set of mysterious disjointed Arabic letters (ḥurūf al-muqaṭṭaʿāt) that appear at the beginning of certain chapters of the Qur’an and whose precise meaning remains unknown.
-
C.
Aleph
Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
-
D.
Aleph
Aleph is the first letter of the Hebrew alphabet, traditionally associated with the numerical value one and often symbolizing unity or the divine in Jewish mysticism and tradition.
-
E.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
- 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.