Triple
T17765857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 Dubai mascots |
E443502
|
entity |
| Predicate | includeCharacter |
P12208
|
FINISHED |
| Object |
Salama
Salama is one of the official mascots of Expo 2020 Dubai, represented as a character embodying the event’s themes and spirit.
|
E1287444
|
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: Salama | Statement: [Expo 2020 Dubai mascots, includeCharacter, Salama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salama Context triple: [Expo 2020 Dubai mascots, includeCharacter, Salama]
-
A.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
B.
Safi
Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
-
C.
Safi
Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
-
D.
Safa
Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
-
E.
Wasafi
Wasafi is a prominent Tanzanian entertainment and media brand best known for its influential presence in music, radio, and popular culture.
- 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: Salama Triple: [Expo 2020 Dubai mascots, includeCharacter, Salama]
Generated description
Salama is one of the official mascots of Expo 2020 Dubai, represented as a character embodying the event’s themes and spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salama Target entity description: Salama is one of the official mascots of Expo 2020 Dubai, represented as a character embodying the event’s themes and spirit.
-
A.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
B.
Safi
Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
-
C.
Safi
Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
-
D.
Safa
Safa is a principal deity in the Uatsdin (Assian) neo-pagan religious tradition, revered within the reconstructed Ossetian pantheon.
-
E.
Wasafi
Wasafi is a prominent Tanzanian entertainment and media brand best known for its influential presence in music, radio, and popular culture.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fc03e48190a8044e1b40f66f20 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efbf6a4081908399ec1edf6f5a97 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f113a41c8190b17611eaa50516ca |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1e980f4819087eb191e13396581 |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:11 a.m.