Triple
T11786500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Espírito Santo |
E280282
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ecoporanga
Ecoporanga is a municipality in the northern region of the Brazilian state of Espírito Santo, known for its rural economy and small-town character.
|
E946442
|
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: Ecoporanga | Statement: [State of Espírito Santo, hasCity, Ecoporanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecoporanga Context triple: [State of Espírito Santo, hasCity, Ecoporanga]
-
A.
Porocara
Porocara is a genus of moths classified within the family Ereuniidae.
-
B.
Arpora
Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
-
C.
Nobatia
Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
-
D.
Garmanella
Garmanella is a small genus of pupfish, a type of killifish, within the family Cyprinodontidae, known from freshwater habitats in Mexico.
-
E.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
- 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: Ecoporanga Triple: [State of Espírito Santo, hasCity, Ecoporanga]
Generated description
Ecoporanga is a municipality in the northern region of the Brazilian state of Espírito Santo, known for its rural economy and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ecoporanga Target entity description: Ecoporanga is a municipality in the northern region of the Brazilian state of Espírito Santo, known for its rural economy and small-town character.
-
A.
Porocara
Porocara is a genus of moths classified within the family Ereuniidae.
-
B.
Arpora
Arpora is a village in the Indian state of Goa, known for its popular Saturday Night Market and proximity to major beach destinations like Baga and Calangute.
-
C.
Nobatia
Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
-
D.
Garmanella
Garmanella is a small genus of pupfish, a type of killifish, within the family Cyprinodontidae, known from freshwater habitats in Mexico.
-
E.
Errana
Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090e8828481908baa7f6067190db3 |
completed | April 28, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69f0bd3f39608190b29027b30664bd9c |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef5afd448190953b5d9929478132 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.