Triple
T10359789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mauropous |
E244102
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object |
Euchaita
Euchaita was an important Byzantine town in Asia Minor, known as a religious and administrative center during the Middle Byzantine period.
|
E858639
|
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: Euchaita | Statement: [John Mauropous, workLocation, Euchaita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euchaita Context triple: [John Mauropous, workLocation, Euchaita]
-
A.
Cailungo
Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
-
B.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
C.
Chacahua
Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
-
D.
Rauco
Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
-
E.
Azoyú
Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
- 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: Euchaita Triple: [John Mauropous, workLocation, Euchaita]
Generated description
Euchaita was an important Byzantine town in Asia Minor, known as a religious and administrative center during the Middle Byzantine period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Euchaita Target entity description: Euchaita was an important Byzantine town in Asia Minor, known as a religious and administrative center during the Middle Byzantine period.
-
A.
Cailungo
Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
-
B.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
C.
Chacahua
Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
-
D.
Rauco
Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
-
E.
Azoyú
Azoyú is a small town and municipal seat in the Costa Chica region of the Mexican state of Guerrero, known for its rural character and coastal cultural traditions.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b6ef248190bdbe16bbb8efcf88 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.