Triple
T15992506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugs |
E387867
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
IO (city)
IO is a fictional city known as the futuristic, neon-lit setting of the animated series "Kipo and the Age of Wonderbeasts," often depicted as overrun by mutant creatures and bugs.
|
E1187331
|
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: IO (city) | Statement: [Bugs, associatedWith, IO (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IO (city) Context triple: [Bugs, associatedWith, IO (city)]
-
A.
Sen City
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Ciudad del Río
Ciudad del Río is a revitalized urban district in Medellín, Colombia, known for its contemporary architecture, public green spaces, and cultural attractions.
-
D.
Gaya city
Gaya city is a major urban center in the Indian state of Bihar, renowned as a Hindu pilgrimage site near the Buddhist holy city of Bodh Gaya.
-
E.
Saida
Saida is a city in northwestern Algeria known as an important regional center for agriculture, trade, and transportation.
- 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: IO (city) Triple: [Bugs, associatedWith, IO (city)]
Generated description
IO is a fictional city known as the futuristic, neon-lit setting of the animated series "Kipo and the Age of Wonderbeasts," often depicted as overrun by mutant creatures and bugs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IO (city) Target entity description: IO is a fictional city known as the futuristic, neon-lit setting of the animated series "Kipo and the Age of Wonderbeasts," often depicted as overrun by mutant creatures and bugs.
-
A.
Sen City
Sen City is a musical artist known for contributing to the hip-hop project "Purple Haze 2."
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Ciudad del Río
Ciudad del Río is a revitalized urban district in Medellín, Colombia, known for its contemporary architecture, public green spaces, and cultural attractions.
-
D.
Gaya city
Gaya city is a major urban center in the Indian state of Bihar, renowned as a Hindu pilgrimage site near the Buddhist holy city of Bodh Gaya.
-
E.
Saida
Saida is a city in northwestern Algeria known as an important regional center for agriculture, trade, and transportation.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157844ed881908b42bfc1bb740d4e |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc47bce748190a651fff307aad88d |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4e14e1881909210a78426546e88 |
completed | May 9, 2026, 11:36 p.m. |
Created at: April 10, 2026, 4:54 a.m.