Triple
T5119097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huanhuan |
E115414
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Fuwa |
E115414
|
NE 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: Fuwa | Statement: [Huanhuan, memberOf, Fuwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuwa Context triple: [Huanhuan, memberOf, Fuwa]
-
A.
Fuwa
chosen
Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
-
B.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
-
C.
Chiwan
Chiwan is a coastal area in Shenzhen, China, known for its port facilities, historical sites, and role in the city’s maritime trade.
-
D.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
E.
Syukuro
Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cf6590819081488b739efae32c |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef9de9c88190b06c5076e5eabe3e |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:42 p.m.