Triple
T14253466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Jetters |
E353326
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Foz
Foz is one of the main Go Jetters characters, known as the team's tech-savvy, gadget-loving expert who helps solve geographical missions.
|
E1089672
|
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: Foz | Statement: [Go Jetters, featuresCharacter, Foz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foz Context triple: [Go Jetters, featuresCharacter, Foz]
-
A.
Rio de Moinhos
Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
-
B.
Bientina
Bientina is a small Tuscan town in central Italy known for its historic center and location within the Province of Pisa.
-
C.
Fusina
Fusina is a small port and industrial area near Venice in northeastern Italy, situated at the mouth of the Brenta River on the Venetian Lagoon.
-
D.
Rio Fergia
Rio Fergia is a small river in central Italy that serves as a tributary of the Chiascio within the Tiber River basin.
-
E.
Pelotas River
The Pelotas River is a significant river in southern Brazil that forms part of the Uruguay River system and helps define sections of the border between Brazilian states.
- 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: Foz Triple: [Go Jetters, featuresCharacter, Foz]
Generated description
Foz is one of the main Go Jetters characters, known as the team's tech-savvy, gadget-loving expert who helps solve geographical missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foz Target entity description: Foz is one of the main Go Jetters characters, known as the team's tech-savvy, gadget-loving expert who helps solve geographical missions.
-
A.
Rio de Moinhos
Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
-
B.
Bientina
Bientina is a small Tuscan town in central Italy known for its historic center and location within the Province of Pisa.
-
C.
Fusina
Fusina is a small port and industrial area near Venice in northeastern Italy, situated at the mouth of the Brenta River on the Venetian Lagoon.
-
D.
Rio Fergia
Rio Fergia is a small river in central Italy that serves as a tributary of the Chiascio within the Tiber River basin.
-
E.
Pelotas River
The Pelotas River is a significant river in southern Brazil that forms part of the Uruguay River system and helps define sections of the border between Brazilian states.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325c98288190ba035fb5cc5bcf6b |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33cba18481908f2dfe358017f11b |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd346ffb9c81909ec28e514ea5451b |
completed | May 8, 2026, 12:55 a.m. |
Created at: April 10, 2026, 1:09 a.m.